Hierarchical semi-numeric method for pairwise fuzzy group decision making

M. Marimin1, M. Umano2, I. Hatono3, H. Tamura4
1Department of Agro-Industrial Technology, Faculty of Agricultural Technology, Bogor Agricultural University, Bogor, Indonesia
2Department of Mathematics and Information Sciences, College of Integrated Arts and Sciences, Osaka Prefecture University, Osaka, Japan
3Kobe University, Kobe, Japan
4Department of Systems and Human Science, Graduate School of Engineering Science, Osaka University, Osaka, Japan

Tóm tắt

Gradual improvements to a single-level semi-numeric method, i.e., linguistic labels preference representation by fuzzy sets computation for pairwise fuzzy group decision making are summarized. The method is extended to solve multiple criteria hierarchical structure pairwise fuzzy group decision-making problems. The problems are hierarchically structured into focus, criteria, and alternatives. Decision makers express their evaluations of criteria and alternatives based on each criterion by using linguistic labels. The labels are converted into and processed in triangular fuzzy numbers (TFNs). Evaluations of criteria yield relative criteria weights. Evaluations of the alternatives, based on each criterion, yield a degree of preference for each alternative or a degree of satisfaction for each preference value. By using a neat ordered weighted average (OWA) or a fuzzy weighted average operator, solutions obtained based on each criterion are aggregated into final solutions. The hierarchical semi-numeric method is suitable for solving a larger and more complex pairwise fuzzy group decision-making problem. The proposed method has been verified and applied to solve some real cases and is compared to Saaty's (1996) analytic hierarchy process (AHP) method.

Từ khóa

#Decision making #Fuzzy sets #Computational modeling #Open wireless architecture #Mathematics #Art #Humans

Tài liệu tham khảo

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