Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
Fuzzy credibility relation method for multiple criteria decision-making problems
Information Sciences: an International Journal
Combining numerical and linguistic information in group decision making
Information Sciences: an International Journal
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
An integrated case-based reasoning and MCDM system for Web based tourism destination planning
Expert Systems with Applications: An International Journal
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
Expert Systems with Applications: An International Journal
The LTOPSIS: An alternative to TOPSIS decision-making approach for linguistic variables
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In this paper, we present a hybrid multi-criteria decision-making (MCDM) model to evaluate the competence of the firms. According to the competence-based theory reveals that firm competencies are recognized from exclusive and unique capabilities that each firm enjoy in marketplace and are tightly intertwined within different business functions throughout the company. Therefore, competence in the firm is a composite of various attributes. Among them many intangible and tangible attributes are difficult to measure. In order to overcome the issue, we invite fuzzy set theory into the measurement of performance. In this paper first we calculate the weight of each criterion through adaptive analytic hierarchy process (AHP) approach (A^3) method, and then we appraise the performance of firms via linguistic variables which are expressed as trapezoidal fuzzy numbers. In the next step we transform these fuzzy numbers into interval data by means of @a-cut. Then considering different values for @a we rank the firms through TOPSIS method with interval data. Since there are different ranks for different @a values, we apply linear assignment method to obtain final rank for alternatives.