Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context
Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However,...
Ausführliche Beschreibung
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| Autor*in: |
Ishizaka, Alessio [verfasserIn] Pereira, Vijay [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Soft Computing - Springer-Verlag, 2003, 24(2019), 18 vom: 17. Okt., Seite 13639-13650 |
|---|---|
| Übergeordnetes Werk: |
volume:24 ; year:2019 ; number:18 ; day:17 ; month:10 ; pages:13639-13650 |
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| DOI / URN: |
10.1007/s00500-019-04405-5 |
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| 520 | |a Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. | ||
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10.1007/s00500-019-04405-5 doi (DE-627)SPR040629570 (SPR)s00500-019-04405-5-e DE-627 ger DE-627 rakwb eng Ishizaka, Alessio verfasserin aut Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. Decision analysis (dpeaa)DE-He213 Multi-criteria decision analysis (dpeaa)DE-He213 Sorting problems (dpeaa)DE-He213 Dependencies (dpeaa)DE-He213 ANPSort (dpeaa)DE-He213 Pereira, Vijay verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 24(2019), 18 vom: 17. Okt., Seite 13639-13650 (DE-627)SPR006469531 nnns volume:24 year:2019 number:18 day:17 month:10 pages:13639-13650 https://dx.doi.org/10.1007/s00500-019-04405-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 24 2019 18 17 10 13639-13650 |
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10.1007/s00500-019-04405-5 doi (DE-627)SPR040629570 (SPR)s00500-019-04405-5-e DE-627 ger DE-627 rakwb eng Ishizaka, Alessio verfasserin aut Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. Decision analysis (dpeaa)DE-He213 Multi-criteria decision analysis (dpeaa)DE-He213 Sorting problems (dpeaa)DE-He213 Dependencies (dpeaa)DE-He213 ANPSort (dpeaa)DE-He213 Pereira, Vijay verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 24(2019), 18 vom: 17. Okt., Seite 13639-13650 (DE-627)SPR006469531 nnns volume:24 year:2019 number:18 day:17 month:10 pages:13639-13650 https://dx.doi.org/10.1007/s00500-019-04405-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 24 2019 18 17 10 13639-13650 |
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10.1007/s00500-019-04405-5 doi (DE-627)SPR040629570 (SPR)s00500-019-04405-5-e DE-627 ger DE-627 rakwb eng Ishizaka, Alessio verfasserin aut Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. Decision analysis (dpeaa)DE-He213 Multi-criteria decision analysis (dpeaa)DE-He213 Sorting problems (dpeaa)DE-He213 Dependencies (dpeaa)DE-He213 ANPSort (dpeaa)DE-He213 Pereira, Vijay verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 24(2019), 18 vom: 17. Okt., Seite 13639-13650 (DE-627)SPR006469531 nnns volume:24 year:2019 number:18 day:17 month:10 pages:13639-13650 https://dx.doi.org/10.1007/s00500-019-04405-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 24 2019 18 17 10 13639-13650 |
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10.1007/s00500-019-04405-5 doi (DE-627)SPR040629570 (SPR)s00500-019-04405-5-e DE-627 ger DE-627 rakwb eng Ishizaka, Alessio verfasserin aut Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. Decision analysis (dpeaa)DE-He213 Multi-criteria decision analysis (dpeaa)DE-He213 Sorting problems (dpeaa)DE-He213 Dependencies (dpeaa)DE-He213 ANPSort (dpeaa)DE-He213 Pereira, Vijay verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 24(2019), 18 vom: 17. Okt., Seite 13639-13650 (DE-627)SPR006469531 nnns volume:24 year:2019 number:18 day:17 month:10 pages:13639-13650 https://dx.doi.org/10.1007/s00500-019-04405-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 24 2019 18 17 10 13639-13650 |
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Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. |
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Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. |
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Abstract Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach. |
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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">SPR040629570</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201126024943.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00500-019-04405-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040629570</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00500-019-04405-5-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">Ishizaka, Alessio</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Utilisation of ANPSort for sorting alternative with interdependent criteria illustrated through a researcher’s classification problem in an academic context</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</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 Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is often not the case practically in real life. Therefore, this paper proposes a new sorting technique ANPSort, which can handle problems and challenges with interdependent criteria. Moreover, another practical limitation of ANP is that a high number of alternatives imply a large number of comparisons. In comparison, our proposed ANPSort requires far-less comparisons than ANP, which facilitates decision-making within large-scale problems. It further allows a structured, transparent and consistent evaluation integrating qualitative and quantitative criteria. In this paper, we contextualise and problematise this challenge and contribute through the lens of a practical case study in a higher education academic set-up specifically concentrating on a topical area of ‘researcher classification’, to illustrate our concept and approach.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-criteria decision analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sorting problems</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dependencies</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ANPSort</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pereira, Vijay</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">24(2019), 18 vom: 17. 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7.39933 |