Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

被引:0
|
作者
Abdul Malek Yaakob
Alexander Gegov
机构
[1] Universiti Utara Malaysia,School of Quantitative Sciences
[2] University of Portsmouth,School of Computing
关键词
Type-1 fuzzy number; interval type-2 fuzzy number; -number; multi-criteria decision making; TOPSIS; stock selection; reliability of information;
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学科分类号
摘要
The ability in providing result that is consistent with actual ranking remains the major concern in group decision making environment. The main aim of this paper is to introduce a novel modification of TOPSIS method to facilitate multi criteria decision making problems based on the concept of Z-numbers called Z-TOPSIS. The proposed method is adequate and intuitive in giving meaningful structure for formalizing information of a decision making problem, as it takes into account the decision makers’ reliability. This study also provides bridge with some established knowledge in fuzzy sets to certain extend as to strengthen the concept of ranking alternatives using Z — numbers. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using spearman rho rank correlation. Based on the analysis, the proposed method outperforms the established TOPSIS methods in term of ranking performance.
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页码:311 / 324
页数:13
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