A novel dissimilarity measure on picture fuzzy sets and its application in multi-criteria decision making
Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A...
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Gespeichert in:
| Autor*in: |
Duong, Truong Thi Thuy [verfasserIn] Thao, Nguyen Xuan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Soft Computing - Springer-Verlag, 2003, 25(2020), 1 vom: 20. Nov., Seite 15-25 |
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| Übergeordnetes Werk: |
volume:25 ; year:2020 ; number:1 ; day:20 ; month:11 ; pages:15-25 |
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| DOI / URN: |
10.1007/s00500-020-05405-6 |
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10.1007/s00500-020-05405-6 doi (DE-627)SPR042695740 (SPR)s00500-020-05405-6-e DE-627 ger DE-627 rakwb eng Duong, Truong Thi Thuy verfasserin aut A novel dissimilarity measure on picture fuzzy sets and its application in multi-criteria decision making 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment. Picture fuzzy sets (dpeaa)DE-He213 Dissimilarity measures (dpeaa)DE-He213 MCDM (dpeaa)DE-He213 Market segment (dpeaa)DE-He213 Thao, Nguyen Xuan verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 25(2020), 1 vom: 20. Nov., Seite 15-25 (DE-627)SPR006469531 nnns volume:25 year:2020 number:1 day:20 month:11 pages:15-25 https://dx.doi.org/10.1007/s00500-020-05405-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 25 2020 1 20 11 15-25 |
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10.1007/s00500-020-05405-6 doi (DE-627)SPR042695740 (SPR)s00500-020-05405-6-e DE-627 ger DE-627 rakwb eng Duong, Truong Thi Thuy verfasserin aut A novel dissimilarity measure on picture fuzzy sets and its application in multi-criteria decision making 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment. Picture fuzzy sets (dpeaa)DE-He213 Dissimilarity measures (dpeaa)DE-He213 MCDM (dpeaa)DE-He213 Market segment (dpeaa)DE-He213 Thao, Nguyen Xuan verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 25(2020), 1 vom: 20. Nov., Seite 15-25 (DE-627)SPR006469531 nnns volume:25 year:2020 number:1 day:20 month:11 pages:15-25 https://dx.doi.org/10.1007/s00500-020-05405-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 25 2020 1 20 11 15-25 |
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Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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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">SPR042695740</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220412064840.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210114s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00500-020-05405-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR042695740</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00500-020-05405-6-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">Duong, Truong Thi Thuy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A novel dissimilarity measure on picture fuzzy sets and its application in multi-criteria decision making</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</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="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag GmbH Germany, part of Springer Nature 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract With the increase in complexity of real problems, more and more, the decision makers are involved remarkably in the decision-making processes. It is required more efficient technique or tool to give reliable outcomes. This paper proposes a new dissimilarity measure on picture fuzzy sets. A multi-criteria decision-making problem is utilized to apply this new measure to select the optimal alternative. Finally, an example uses the proposed measure to evaluate and select the optimal market segment.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Picture fuzzy sets</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dissimilarity measures</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MCDM</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Market segment</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thao, Nguyen Xuan</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">25(2020), 1 vom: 20. Nov., Seite 15-25</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:25</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:1</subfield><subfield code="g">day:20</subfield><subfield code="g">month:11</subfield><subfield code="g">pages:15-25</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00500-020-05405-6</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">25</subfield><subfield code="j">2020</subfield><subfield code="e">1</subfield><subfield code="b">20</subfield><subfield code="c">11</subfield><subfield code="h">15-25</subfield></datafield></record></collection>
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