Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables
Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight inf...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Lidong [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © 2017, World Scientific Publishing Company |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: International journal of pattern recognition and artificial intelligence - Singapore [u.a.] : World Scientific Publ. Co., 1987, 31(2017), 9 |
|---|---|
| Übergeordnetes Werk: |
volume:31 ; year:2017 ; number:9 |
| Links: |
|---|
| DOI / URN: |
10.1142/S0218001417590169 |
|---|
| Katalog-ID: |
OLC1997969521 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1997969521 | ||
| 003 | DE-627 | ||
| 005 | 20220216100943.0 | ||
| 007 | tu | ||
| 008 | 171125s2017 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1142/S0218001417590169 |2 doi | |
| 028 | 5 | 2 | |a PQ20171228 |
| 035 | |a (DE-627)OLC1997969521 | ||
| 035 | |a (DE-599)GBVOLC1997969521 | ||
| 035 | |a (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 | ||
| 035 | |a (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 510 |q ZDB |
| 084 | |a 54.72 |2 bkl | ||
| 084 | |a 54.74 |2 bkl | ||
| 100 | 1 | |a Wang, Lidong |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. | ||
| 540 | |a Nutzungsrecht: © 2017, World Scientific Publishing Company | ||
| 650 | 4 | |a Artificial Intelligence | |
| 700 | 1 | |a Liao, Binquan |4 oth | |
| 700 | 1 | |a Liu, Xiaodong |4 oth | |
| 700 | 1 | |a Liu, Jingxia |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of pattern recognition and artificial intelligence |d Singapore [u.a.] : World Scientific Publ. Co., 1987 |g 31(2017), 9 |w (DE-627)129238694 |w (DE-600)58282-7 |w (DE-576)018613543 |x 0218-0014 |7 nnns |
| 773 | 1 | 8 | |g volume:31 |g year:2017 |g number:9 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1142/S0218001417590169 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_4324 | ||
| 936 | b | k | |a 54.72 |q AVZ |
| 936 | b | k | |a 54.74 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 31 |j 2017 |e 9 | ||
| author_variant |
l w lw |
|---|---|
| matchkey_str |
article:02180014:2017----::osbltbsdlcrimtowtucranigi |
| hierarchy_sort_str |
2017 |
| bklnumber |
54.72 54.74 |
| publishDate |
2017 |
| allfields |
10.1142/S0218001417590169 doi PQ20171228 (DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui DE-627 ger DE-627 rakwb eng 510 ZDB 54.72 bkl 54.74 bkl Wang, Lidong verfasserin aut Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. Nutzungsrecht: © 2017, World Scientific Publishing Company Artificial Intelligence Liao, Binquan oth Liu, Xiaodong oth Liu, Jingxia oth Enthalten in International journal of pattern recognition and artificial intelligence Singapore [u.a.] : World Scientific Publ. Co., 1987 31(2017), 9 (DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 0218-0014 nnns volume:31 year:2017 number:9 http://dx.doi.org/10.1142/S0218001417590169 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 54.72 AVZ 54.74 AVZ AR 31 2017 9 |
| spelling |
10.1142/S0218001417590169 doi PQ20171228 (DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui DE-627 ger DE-627 rakwb eng 510 ZDB 54.72 bkl 54.74 bkl Wang, Lidong verfasserin aut Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. Nutzungsrecht: © 2017, World Scientific Publishing Company Artificial Intelligence Liao, Binquan oth Liu, Xiaodong oth Liu, Jingxia oth Enthalten in International journal of pattern recognition and artificial intelligence Singapore [u.a.] : World Scientific Publ. Co., 1987 31(2017), 9 (DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 0218-0014 nnns volume:31 year:2017 number:9 http://dx.doi.org/10.1142/S0218001417590169 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 54.72 AVZ 54.74 AVZ AR 31 2017 9 |
| allfields_unstemmed |
10.1142/S0218001417590169 doi PQ20171228 (DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui DE-627 ger DE-627 rakwb eng 510 ZDB 54.72 bkl 54.74 bkl Wang, Lidong verfasserin aut Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. Nutzungsrecht: © 2017, World Scientific Publishing Company Artificial Intelligence Liao, Binquan oth Liu, Xiaodong oth Liu, Jingxia oth Enthalten in International journal of pattern recognition and artificial intelligence Singapore [u.a.] : World Scientific Publ. Co., 1987 31(2017), 9 (DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 0218-0014 nnns volume:31 year:2017 number:9 http://dx.doi.org/10.1142/S0218001417590169 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 54.72 AVZ 54.74 AVZ AR 31 2017 9 |
| allfieldsGer |
10.1142/S0218001417590169 doi PQ20171228 (DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui DE-627 ger DE-627 rakwb eng 510 ZDB 54.72 bkl 54.74 bkl Wang, Lidong verfasserin aut Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. Nutzungsrecht: © 2017, World Scientific Publishing Company Artificial Intelligence Liao, Binquan oth Liu, Xiaodong oth Liu, Jingxia oth Enthalten in International journal of pattern recognition and artificial intelligence Singapore [u.a.] : World Scientific Publ. Co., 1987 31(2017), 9 (DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 0218-0014 nnns volume:31 year:2017 number:9 http://dx.doi.org/10.1142/S0218001417590169 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 54.72 AVZ 54.74 AVZ AR 31 2017 9 |
| allfieldsSound |
10.1142/S0218001417590169 doi PQ20171228 (DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui DE-627 ger DE-627 rakwb eng 510 ZDB 54.72 bkl 54.74 bkl Wang, Lidong verfasserin aut Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. Nutzungsrecht: © 2017, World Scientific Publishing Company Artificial Intelligence Liao, Binquan oth Liu, Xiaodong oth Liu, Jingxia oth Enthalten in International journal of pattern recognition and artificial intelligence Singapore [u.a.] : World Scientific Publ. Co., 1987 31(2017), 9 (DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 0218-0014 nnns volume:31 year:2017 number:9 http://dx.doi.org/10.1142/S0218001417590169 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 54.72 AVZ 54.74 AVZ AR 31 2017 9 |
| language |
English |
| source |
Enthalten in International journal of pattern recognition and artificial intelligence 31(2017), 9 volume:31 year:2017 number:9 |
| sourceStr |
Enthalten in International journal of pattern recognition and artificial intelligence 31(2017), 9 volume:31 year:2017 number:9 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Artificial Intelligence |
| dewey-raw |
510 |
| isfreeaccess_bool |
false |
| container_title |
International journal of pattern recognition and artificial intelligence |
| authorswithroles_txt_mv |
Wang, Lidong @@aut@@ Liao, Binquan @@oth@@ Liu, Xiaodong @@oth@@ Liu, Jingxia @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
129238694 |
| dewey-sort |
3510 |
| id |
OLC1997969521 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1997969521</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216100943.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">171125s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1142/S0218001417590169</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20171228</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1997969521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1997969521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">ZDB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.74</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Lidong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017, World Scientific Publishing Company</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liao, Binquan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Xiaodong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Jingxia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of pattern recognition and artificial intelligence</subfield><subfield code="d">Singapore [u.a.] : World Scientific Publ. Co., 1987</subfield><subfield code="g">31(2017), 9</subfield><subfield code="w">(DE-627)129238694</subfield><subfield code="w">(DE-600)58282-7</subfield><subfield code="w">(DE-576)018613543</subfield><subfield code="x">0218-0014</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:9</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1142/S0218001417590169</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.74</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2017</subfield><subfield code="e">9</subfield></datafield></record></collection>
|
| author |
Wang, Lidong |
| spellingShingle |
Wang, Lidong ddc 510 bkl 54.72 bkl 54.74 misc Artificial Intelligence Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| authorStr |
Wang, Lidong |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129238694 |
| format |
Article |
| dewey-ones |
510 - Mathematics |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0218-0014 |
| topic_title |
510 ZDB 54.72 bkl 54.74 bkl Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables Artificial Intelligence |
| topic |
ddc 510 bkl 54.72 bkl 54.74 misc Artificial Intelligence |
| topic_unstemmed |
ddc 510 bkl 54.72 bkl 54.74 misc Artificial Intelligence |
| topic_browse |
ddc 510 bkl 54.72 bkl 54.74 misc Artificial Intelligence |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
b l bl x l xl j l jl |
| hierarchy_parent_title |
International journal of pattern recognition and artificial intelligence |
| hierarchy_parent_id |
129238694 |
| dewey-tens |
510 - Mathematics |
| hierarchy_top_title |
International journal of pattern recognition and artificial intelligence |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129238694 (DE-600)58282-7 (DE-576)018613543 |
| title |
Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| ctrlnum |
(DE-627)OLC1997969521 (DE-599)GBVOLC1997969521 (PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0 (KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui |
| title_full |
Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| author_sort |
Wang, Lidong |
| journal |
International journal of pattern recognition and artificial intelligence |
| journalStr |
International journal of pattern recognition and artificial intelligence |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| author_browse |
Wang, Lidong |
| container_volume |
31 |
| class |
510 ZDB 54.72 bkl 54.74 bkl |
| format_se |
Aufsätze |
| author-letter |
Wang, Lidong |
| doi_str_mv |
10.1142/S0218001417590169 |
| dewey-full |
510 |
| title_sort |
possibility-based electre ii method with uncertain linguistic fuzzy variables |
| title_auth |
Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| abstract |
Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. |
| abstractGer |
Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. |
| abstract_unstemmed |
Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_60 GBV_ILN_70 GBV_ILN_4324 |
| container_issue |
9 |
| title_short |
Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables |
| url |
http://dx.doi.org/10.1142/S0218001417590169 |
| remote_bool |
false |
| author2 |
Liao, Binquan Liu, Xiaodong Liu, Jingxia |
| author2Str |
Liao, Binquan Liu, Xiaodong Liu, Jingxia |
| ppnlink |
129238694 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1142/S0218001417590169 |
| up_date |
2024-07-04T04:05:26.574Z |
| _version_ |
1803619849024307200 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1997969521</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216100943.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">171125s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1142/S0218001417590169</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20171228</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1997969521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1997969521</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)w779-265b1040d4afaf57c9e4d9c60a46ef0df2f5bb289d5ac9ec58afdcb9e5581f1a0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0163438020170000031000900000possibilitybasedelectreiimethodwithuncertainlingui</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">ZDB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.74</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Lidong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Linguistic variables can better approximate the fuzziness of man’s thinking, which are important tools for multiple attribute decision-making problems. This paper establishes the possibility-based ELECTRE II model under the environment of uncertain linguistic fuzzy variables and uncertain weight information. By introducing the degree of possibility to ELECTRE II model, the concordance set, the discordance set and the indifferent set are obtained, respectively. Furthermore, the concordance index is redefined by considering deviation index under the same attribute, by which the strong and weak relationships are constructed, and then the rank of alternatives is obtained. A numerical example about the evaluation of socio-economic systems is employed to illustrate the convenience and applicability of the proposed method.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017, World Scientific Publishing Company</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liao, Binquan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Xiaodong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Jingxia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of pattern recognition and artificial intelligence</subfield><subfield code="d">Singapore [u.a.] : World Scientific Publ. Co., 1987</subfield><subfield code="g">31(2017), 9</subfield><subfield code="w">(DE-627)129238694</subfield><subfield code="w">(DE-600)58282-7</subfield><subfield code="w">(DE-576)018613543</subfield><subfield code="x">0218-0014</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:31</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:9</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1142/S0218001417590169</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.74</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">31</subfield><subfield code="j">2017</subfield><subfield code="e">9</subfield></datafield></record></collection>
|
| score |
7.398037 |