Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making
Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operato...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Ligang [verfasserIn] Tao, Zhifu [verfasserIn] Chen, Huayou [verfasserIn] Liu, Jinpei [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Soft Computing - Springer-Verlag, 2003, 19(2014), 3 vom: 06. Mai, Seite 715-730 |
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| Übergeordnetes Werk: |
volume:19 ; year:2014 ; number:3 ; day:06 ; month:05 ; pages:715-730 |
| Links: |
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| DOI / URN: |
10.1007/s00500-014-1295-8 |
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| 520 | |a Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. | ||
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10.1007/s00500-014-1295-8 doi (DE-627)SPR00648624X (SPR)s00500-014-1295-8-e DE-627 ger DE-627 rakwb eng Zhou, Ligang verfasserin aut Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. Group decision making (dpeaa)DE-He213 Aggregation operator (dpeaa)DE-He213 OWA operator (dpeaa)DE-He213 GOWLHA operator (dpeaa)DE-He213 Tao, Zhifu verfasserin aut Chen, Huayou verfasserin aut Liu, Jinpei verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 19(2014), 3 vom: 06. Mai, Seite 715-730 (DE-627)SPR006469531 nnns volume:19 year:2014 number:3 day:06 month:05 pages:715-730 https://dx.doi.org/10.1007/s00500-014-1295-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 19 2014 3 06 05 715-730 |
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10.1007/s00500-014-1295-8 doi (DE-627)SPR00648624X (SPR)s00500-014-1295-8-e DE-627 ger DE-627 rakwb eng Zhou, Ligang verfasserin aut Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. Group decision making (dpeaa)DE-He213 Aggregation operator (dpeaa)DE-He213 OWA operator (dpeaa)DE-He213 GOWLHA operator (dpeaa)DE-He213 Tao, Zhifu verfasserin aut Chen, Huayou verfasserin aut Liu, Jinpei verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 19(2014), 3 vom: 06. Mai, Seite 715-730 (DE-627)SPR006469531 nnns volume:19 year:2014 number:3 day:06 month:05 pages:715-730 https://dx.doi.org/10.1007/s00500-014-1295-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 19 2014 3 06 05 715-730 |
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10.1007/s00500-014-1295-8 doi (DE-627)SPR00648624X (SPR)s00500-014-1295-8-e DE-627 ger DE-627 rakwb eng Zhou, Ligang verfasserin aut Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. Group decision making (dpeaa)DE-He213 Aggregation operator (dpeaa)DE-He213 OWA operator (dpeaa)DE-He213 GOWLHA operator (dpeaa)DE-He213 Tao, Zhifu verfasserin aut Chen, Huayou verfasserin aut Liu, Jinpei verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 19(2014), 3 vom: 06. Mai, Seite 715-730 (DE-627)SPR006469531 nnns volume:19 year:2014 number:3 day:06 month:05 pages:715-730 https://dx.doi.org/10.1007/s00500-014-1295-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 19 2014 3 06 05 715-730 |
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10.1007/s00500-014-1295-8 doi (DE-627)SPR00648624X (SPR)s00500-014-1295-8-e DE-627 ger DE-627 rakwb eng Zhou, Ligang verfasserin aut Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. Group decision making (dpeaa)DE-He213 Aggregation operator (dpeaa)DE-He213 OWA operator (dpeaa)DE-He213 GOWLHA operator (dpeaa)DE-He213 Tao, Zhifu verfasserin aut Chen, Huayou verfasserin aut Liu, Jinpei verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 19(2014), 3 vom: 06. Mai, Seite 715-730 (DE-627)SPR006469531 nnns volume:19 year:2014 number:3 day:06 month:05 pages:715-730 https://dx.doi.org/10.1007/s00500-014-1295-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 19 2014 3 06 05 715-730 |
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10.1007/s00500-014-1295-8 doi (DE-627)SPR00648624X (SPR)s00500-014-1295-8-e DE-627 ger DE-627 rakwb eng Zhou, Ligang verfasserin aut Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. Group decision making (dpeaa)DE-He213 Aggregation operator (dpeaa)DE-He213 OWA operator (dpeaa)DE-He213 GOWLHA operator (dpeaa)DE-He213 Tao, Zhifu verfasserin aut Chen, Huayou verfasserin aut Liu, Jinpei verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 19(2014), 3 vom: 06. Mai, Seite 715-730 (DE-627)SPR006469531 nnns volume:19 year:2014 number:3 day:06 month:05 pages:715-730 https://dx.doi.org/10.1007/s00500-014-1295-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 19 2014 3 06 05 715-730 |
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Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. |
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Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. |
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Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR00648624X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124002803.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00500-014-1295-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR00648624X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00500-014-1295-8-e</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="100" ind1="1" ind2=" "><subfield code="a">Zhou, Ligang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Group decision making</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Aggregation operator</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">OWA operator</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">GOWLHA operator</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tao, Zhifu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Huayou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Jinpei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Soft Computing</subfield><subfield code="d">Springer-Verlag, 2003</subfield><subfield code="g">19(2014), 3 vom: 06. Mai, Seite 715-730</subfield><subfield code="w">(DE-627)SPR006469531</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:19</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:3</subfield><subfield code="g">day:06</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:715-730</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00500-014-1295-8</subfield><subfield code="z">lizenzpflichtig</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_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">19</subfield><subfield code="j">2014</subfield><subfield code="e">3</subfield><subfield code="b">06</subfield><subfield code="c">05</subfield><subfield code="h">715-730</subfield></datafield></record></collection>
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