MULTIPLE CRITERIA DECISION MAKING APPROACH FOR INDUSTRIAL ENGINEER SELECTION USING FUZZY AHP-FUZZY TOPSIS | Zendy

Derya Deli̇ktaş | Zendy; Özden Üstün | Zendy

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MULTIPLE CRITERIA DECISION MAKING APPROACH FOR INDUSTRIAL ENGINEER SELECTION USING FUZZY AHP-FUZZY TOPSIS

Author(s) -

Derya Deli̇ktaş,

Özden Üstün

Publication year - 2018

Publication title -

anadolu university journal of science and technology-a applied sciences and engineering

Language(s) - English

Resource type - Journals

ISSN - 1302-3160

DOI - 10.18038/aubtda.326952

Subject(s) - fuzzy logic , topsis , selection (genetic algorithm) , analytic hierarchy process , multiple criteria decision analysis , fuzzy number , computer science , operations research , fuzzy set , data mining , engineering , artificial intelligence

In this study, a fuzzy multiple criteria decision-making approach is proposed to select an industrial engineer among ten candidates in a manufacturing environment. The industrial engineer selection problem is a special case of the personal selection problem. This problem, which has hierarchical structure of criteria and many decision makers, contains many criteria. The evaluation process of decision makers also includes ambiguous parameters. The fuzzy AHP is used to determine the weights for evaluation criteria. The consistencies of pair-wise comparisons matrices are controlled and a crisp overall performance value is obtained for each candidate based on the Best Non-fuzzy Performance Value. The sensitivity of the candidates’ overall performance values is analyzed by taking into account both the weight of decision makers and the weights of basis criteria. The candidates are also evaluated by fuzzy TOPSIS method and the result obtained by fuzzy AHP is compared with the result achieved by fuzzy TOPSIS.

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