Final Fuzzy Values Research Articles

Using a fuzzy multiple criteria decision-making method to evaluate personal diversity perception to work in a diverse workgroup

Understanding employees’ perceptions in team collaboration may help managers select and develop effective teamwork and efficient job completion. Numerous criteria, including qualitative and quantitative, and their importance weights must be considered in evaluating individual diversity perception; therefore, evaluating individual diversity perception is a fuzzy multiple criteria decision-making (MCDM) problem. The purpose of this paper is to use a fuzzy MCDM method to evaluate the personal perception of working in a diverse workgroup. A ranking method using the mean of relative values is proposed to rank the final fuzzy values to complete the model. Formulas of the ranking procedure are derived to help execute the decision-making procedure and a numerical comparison is conducted to demonstrate the advantage of the proposed ranking method. In addition, a survey about personal diversity perception and willingness to work verifies the feasibility and validity of the proposed mean of relative values based fuzzy MCDM method. The results indicate that decision-makers prefer to work in a different countries-same working field group. More experienced decision-makers, unlike students, prefer to work in the same working sector group.

Fuzzy multiple criteria decision-making via an inverse function-based total utility approach

This work presents ranking alternatives under fuzzy multiple criteria decision making (MCDM) via an inverse function-based total utility approach, where ratings of alternatives versus qualitative criteria as well as importance weights of all criteria are assessed in linguistic values represented by fuzzy numbers. Membership functions of the final fuzzy values of alternatives can be developed; some of their properties are investigated and proved. The right utility is obtained from the inverse function of right membership function of the final fuzzy value and the inverse function of maximizing set, while the left utility is obtained from the inverse function of left membership function of the final fuzzy value and the inverse function of minimizing set. Total utility is the sum of the right and left utilities. A larger total utility indicates that the corresponding alternative is more favorable. The ranking of fuzzy numbers can be clearly formulated to increase the applicability of the suggested fuzzy MCDM model. A numerical example demonstrates the feasibility of the proposed method, and some comparisons are provided to reveal robustness and advantages of the proposed method.

A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a utopian environment

This paper proposes a novel hybrid fuzzy multi criteria decision-making technique for warehouse location selection in a supply chain under a utopian environment. In the proposed methodology, the concept of fuzzy set theory is used to measure subjective performance ratings of warehouse locations and weights of criteria. The simple additive weighting method and factor rating systems are combined to calculate the final fuzzy values (FFVs) of each warehouse location. FFVs are implemented to evaluate preference relationships between the alternatives. Pairwise comparison of the preference relationships generate a fuzzy preference relation matrix (FPRM). This investigation introduces four key selection parameters computed from the FPRM, viz. row sum, column sum, row sum − column sum difference and row sum–column sum ratio to select the best warehouse location. The proposed algorithm is illustrated with the solution of a real life problem of warehouse location selection. A comparative analysis is accomplished to show the acceptability and effectiveness of the proposed method. The result of this study clearly establishes the proposed methodology as one of the most erudite decision-making tools in a supply chain.