Computer
The problem of linguistic approximation in clinical decision making
International Journal of Approximate Reasoning
Fuzzy sets and decision analysis
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An "orderwise" polynomial regression procedure for fuzzy data
Fuzzy Sets and Systems
On the fusion of multi-granularity linguistic label sets in group decision making
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hybrid models in decision making under uncertainty: The case of training provider evaluation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Soft computing of the Borda count by fuzzy linguistic quantifiers
Applied Soft Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Membership maximization prioritization methods for fuzzy analytic hierarchy process
Fuzzy Optimization and Decision Making
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Measuring qualitative attributes is a complex process which includes imprecise decisions for designing, rating, and quantifying the qualitative attributes of the measurement objects. This paper proposes a Fuzzy Qualitative Evaluation System FQES using expert judgment to evaluate perceived qualitative attributes. FQES highlights the fusion of the capabilities of humans and computers in the qualitative evaluation process as humans are proficient in fuzzy reasoning and classification, while computers are superior in calculating human fuzzy inputs with embedded fuzzy algorithms derived in this paper. The innovative methods for the fusion of the capabilities includes a Fuzzy Compound Linguistic Variable FCLV for two dimensional rating categories, a Double Step Rating Approach for determination using FCLV, a Parabola-based Fuzzy Normal Distribution FND for assigning fuzzy numbers for the FCLV and a 5-layer Fuzzy Analytical Network 5FAN which is the multi-granularity aggregation system taking multiple fuzzy number inputs to infer the result using an parametric function. FQES could be the ideal framework to increase the assessment accuracy for qualitative evaluation applications such as customer satisfaction surveys, employee satisfaction surveys, vendor surveys and risk assessment surveys. In the application, this paper demonstrates how FQES can be used to identify the optimum number for the selection of suppliers.