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Fuzzy multiple attributes and multiple hierarchical decision making
Authors:Cheng-Chuang Hon  Yuh-Yuan Guh  Kou-Ming Wang  ES Lee
Affiliation:

Department of Industrial Engineering, Yuan-Ze Institute of Technology, Chung-Li, Taiwan, R.O.C.

Department of Industrial Engineering, Kansas State University, Manhattan, KS 66506, U.S.A.

Abstract:A procedure is proposed to solve the multiple attributes and multiple hierarchical system under fuzzy environment. The approach is based on:

1. (1) fuzzy representation;

2. (2) hierarchical performance evaluation structure,

3. (3) gradient eigenvector method for rating the fuzzy criteria weighting, and

4. (4) using the max-min paired elimination method for aggregation.

To illustrate the approach, an example on the evaluation of teaching performance in higher education is solved.

Keywords:Hierarchical process  Fuzzy Weighted Average (FWA)  Gradient eigenvector method  Group decision making  Multiple Criteria Decision Making (MCDM)  Fuzzy sets
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