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Expert Classification Method for Fuzzy Analytic Hierarchy Process Algorithm: A Case Study on Ship Asset Management
  • Bekir Şahin
Bekir Şahin

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Abstract

The aim of this study is to present an expert classification solution in order to prioritize the expertise levels for multi-criteria decision-making (MCDM) problems. In many applications of the Analytic Hierarchy Process (AHP) and its fuzzy extended versions, experts are asked to assess and scale multi-dimensional questions of various surveys. It is assumed that all experts either have a thorough knowledge of the intended subjects or can make decisions based on their experience. It is rarely possible for a person to have full knowledge on a subject that has many different aspects. Moreover, experience does not guarantee that they have specific, in-depth knowledge about the asked diverse subjects. Also, in the shipping industry, ship owners may have a tendency to display an attitude that they do have comprehensive knowledge during the expert consultation when, in fact, they may be uncertain about various areas in the multi-dimensional process. For each expert consulted, individual matrix consistencies might involve the whole decision-making practice without determining the level of expertise of the expert criterion by criterion. However, each individual consistency is an objective indicator for the expert only in his particular area of expertise. Therefore, the expert categorization approach is proposed to deal with holistic response unreliability.

Keywords: EXCLASS-FAHP, ship asset management, decision making, fuzzy sets