Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties

As threshold determination is arduous when using PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) to make decisions, this study proposes a comprehensive PROMETHEE-based group decision support for covering the uncertainties of threshold determination, risk preferences, an...

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Main Author: Hsu-Shih Shih
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/5594074
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spelling doaj-c9994f1fa54e4bd99ceeea35395fa6d32021-06-28T01:50:41ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/5594074Threshold-Enhanced PROMETHEE Group Decision Support under UncertaintiesHsu-Shih Shih0Department of Management SciencesAs threshold determination is arduous when using PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) to make decisions, this study proposes a comprehensive PROMETHEE-based group decision support for covering the uncertainties of threshold determination, risk preferences, and the evaluation itself. To reduce the difficulty on threshold determination, it explicitly offers statistical aggregation of individuals’ indifference and preference thresholds so as to obtain benefits from multiple sources of knowledge and experience. Three typical combinations are characterized that reflect conservative, balanced, and aggressive group preferences. We also derive 6 properties to illustrate the effects of threshold changes on preference changes. Despite variances among the individual rankings of alternatives, the rank differences within the group decisions do converge by the illustrative example. A larger interval of a conservative group preference generates more diverse ranks versus the other two group preferences. Moreover, PROMETHEE III has a power on managing inaccurate measurement. The introduction of S-shaped functions has the benefit of fitting behavioral decision making under uncertainty. Integrating these approaches together for a decision support, our proposal is less affected by rank variance and coherent with traditional group PROMETHEE under differentiated decision power.http://dx.doi.org/10.1155/2021/5594074
collection DOAJ
language English
format Article
sources DOAJ
author Hsu-Shih Shih
spellingShingle Hsu-Shih Shih
Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
Mathematical Problems in Engineering
author_facet Hsu-Shih Shih
author_sort Hsu-Shih Shih
title Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
title_short Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
title_full Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
title_fullStr Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
title_full_unstemmed Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties
title_sort threshold-enhanced promethee group decision support under uncertainties
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description As threshold determination is arduous when using PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) to make decisions, this study proposes a comprehensive PROMETHEE-based group decision support for covering the uncertainties of threshold determination, risk preferences, and the evaluation itself. To reduce the difficulty on threshold determination, it explicitly offers statistical aggregation of individuals’ indifference and preference thresholds so as to obtain benefits from multiple sources of knowledge and experience. Three typical combinations are characterized that reflect conservative, balanced, and aggressive group preferences. We also derive 6 properties to illustrate the effects of threshold changes on preference changes. Despite variances among the individual rankings of alternatives, the rank differences within the group decisions do converge by the illustrative example. A larger interval of a conservative group preference generates more diverse ranks versus the other two group preferences. Moreover, PROMETHEE III has a power on managing inaccurate measurement. The introduction of S-shaped functions has the benefit of fitting behavioral decision making under uncertainty. Integrating these approaches together for a decision support, our proposal is less affected by rank variance and coherent with traditional group PROMETHEE under differentiated decision power.
url http://dx.doi.org/10.1155/2021/5594074
work_keys_str_mv AT hsushihshih thresholdenhancedprometheegroupdecisionsupportunderuncertainties
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