Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
IEEE Transactions on Fuzzy Systems
Discussion forum: what computing with words means tome
IEEE Computational Intelligence Magazine
Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments
Toward general type-2 fuzzy logic systems based on zSlices
IEEE Transactions on Fuzzy Systems
Strategic analysis of healthcare service quality using fuzzy AHP methodology
Expert Systems with Applications: An International Journal
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets
Expert Systems with Applications: An International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Corrections to “Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets”
IEEE Transactions on Fuzzy Systems
On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
The fuzzy analytic hierarchy process (FAHP) has been used to solve various multi-criteria decision-making problems where trapezoidal type-1 fuzzy sets are utilized in defining decision-makers' linguistic judgment. Previous theories have suggested that interval type-2 fuzzy sets (IT2 FS) can offer an alternative that can handle vagueness and uncertainty. This paper proposes a new FAHP characterized by IT2 FS for linguistic variables. Differently from the typical FAHP, which directly utilizes trapezoidal type-1 fuzzy numbers, this method introduces IT2 FS to enhance judgment in the fuzzy decision-making environment. This new model includes linguistic variables in IT2 FS and a rank value method for normalizing upper and lower memberships of IT2 FS. The proposed model is illustrated by a numerical example of work safety evaluation. Comparable results are also presented to check the feasibility of the proposed method. It is shown that the ranking order of the proposed method is consistent with the other two methods despite difference in weight priorities.