Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral

To reflect the interactions among criteria, Choquet integral is employed to stochastic multicriteria acceptability analysis. Models are first given to roughly identify the best and worst ranking orders of each alternative, based on which the weight information spaces are explored to support some alt...

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Main Author: Meimei Xia
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2015/315340
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author Meimei Xia
author_facet Meimei Xia
author_sort Meimei Xia
collection DOAJ
description To reflect the interactions among criteria, Choquet integral is employed to stochastic multicriteria acceptability analysis. Models are first given to roughly identify the best and worst ranking orders of each alternative, based on which the weight information spaces are explored to support some alternative for ranking at some position and calculate the acceptability indices of alternatives. Models are then given to analyze the characters of information spaces, which can describe what kind of information supports alternatives for ranking at some position and can give an analysis about the effect of characters on the decision result. The proposed method considers not only the interactions between two criteria, but also the interactions among three, four, and more criteria. The proposed method can be considered as an extension of the existing ones.
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institution Kabale University
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publishDate 2015-01-01
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spelling doaj-art-b14cf293b2eb44eb8fdb324ffa5ec6362025-02-03T05:51:59ZengWileyJournal of Applied Mathematics1110-757X1687-00422015-01-01201510.1155/2015/315340315340Stochastic Multicriteria Acceptability Analysis Based on Choquet IntegralMeimei Xia0School of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaTo reflect the interactions among criteria, Choquet integral is employed to stochastic multicriteria acceptability analysis. Models are first given to roughly identify the best and worst ranking orders of each alternative, based on which the weight information spaces are explored to support some alternative for ranking at some position and calculate the acceptability indices of alternatives. Models are then given to analyze the characters of information spaces, which can describe what kind of information supports alternatives for ranking at some position and can give an analysis about the effect of characters on the decision result. The proposed method considers not only the interactions between two criteria, but also the interactions among three, four, and more criteria. The proposed method can be considered as an extension of the existing ones.http://dx.doi.org/10.1155/2015/315340
spellingShingle Meimei Xia
Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
Journal of Applied Mathematics
title Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
title_full Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
title_fullStr Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
title_full_unstemmed Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
title_short Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral
title_sort stochastic multicriteria acceptability analysis based on choquet integral
url http://dx.doi.org/10.1155/2015/315340
work_keys_str_mv AT meimeixia stochasticmulticriteriaacceptabilityanalysisbasedonchoquetintegral