A New Fuzzy Measure for the Analytic Hierarchy Process with the Choquet Integral

• Authors: Larbani Moussa , Chen Yuh-Wen
• Languages of publication: EN

Abstracts

EN

A new fuzzy measure is presented in this paper. Using the assumption that the decision maker is able to provide the pairwise additivity degree between attributes, our method uses Zimmerman’s approach to solve the fuzzy multiobjective problem: a simple problem for computing fuzzy density is derived. Having done that, we use this new fuzzy measure to implement an analytic hierarchy process (AHP) with dependent attributes using the Choquet integral. Our identification procedure for fuzzy density is much easier because it reduces the resolution complexity using a linear programming problem rather than the complicated power form used traditionally.

Keywords

EN

Analytic Hierarchy Process (AHP); Linear programming

PL

Analityczny proces hierarchiczny; Programowanie liniowe

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Multiple Criteria Decision Making
• Year: 2016
• Volume: 11
• Pages: 125-136

Contributors

author

Larbani Moussa

• IIUM University. Department of Business Administration. Kulliyyah of Economics and Management Sciences. Jalan Gombak. Malaysia

author

Chen Yuh-Wen

• Da-Yeh University. Institute of Industrial Engineering and Management. Da-Tsuen. Chang-Hwa. Taiwan

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Identifiers

ISSN

2084-1531