Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Efficient fuzzy partition of pattern space for classification problems
Fuzzy Sets and Systems - Special issue on fuzzy data analysis
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy logic and NeuroFuzzy applications in business and finance
Fuzzy logic and NeuroFuzzy applications in business and finance
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Supplier selection and order lot sizing modeling: A review
Computers and Operations Research
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
Expert Systems with Applications: An International Journal
An integrated fuzzy-lp approach for a supplier selection problem in supply chain management
Expert Systems with Applications: An International Journal
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Quality-based supplier selection and evaluation using fuzzy data
Computers and Industrial Engineering
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
Supplier selection using fuzzy quality data and their applications to touch screen
Expert Systems with Applications: An International Journal
An ERP model for supplier selection in electronics industry
Expert Systems with Applications: An International Journal
Supplier selection and performance evaluation in just-in-time production environments
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Sustainable supplier selection: A ranking model based on fuzzy inference system
Applied Soft Computing
Linguistic models as a framework of user-centric system modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
A fuzzy solution approach for multi objective supplier selection
Expert Systems with Applications: An International Journal
A genetic design of linguistic terms for fuzzy rule based classifiers
International Journal of Approximate Reasoning
An intelligent supplier evaluation, selection and development system
Applied Soft Computing
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
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Fuzzy set theory has been used as an approach to deal with uncertainty in the supplier selection decision process. However, most studies limit applications of fuzzy set theory to outranking potential suppliers, not including a qualification stage in the decision process, in which non-compensatory types of decision rules can be used to reduce the set of potential suppliers. This paper presents a supplier selection decision method based on fuzzy inference that integrates both types of approaches: a non-compensatory rule for sorting in qualification stages and a compensatory rule for ranking in the final selection. Fuzzy inference rules model human reasoning and are embedded in the system, which is an advantage when compared to approaches that combine fuzzy set theory with multicriteria decision making methods. Fuzzy inference combined with a fuzzy rule-based classification method is used to categorize suppliers in qualification stages. Classes of supplier performance can be represented by linguistic terms, which allow decision makers to deal with subjectivity and to express qualification requirements in linguistic formats. Implementation of the proposed method and techniques were analyzed and discussed using an illustrative case. Three defuzzification operators were used in the final selection, yielding the same ranking. Factorial design was applied to test consistency and sensitivity of the inference rules. The findings reinforce the argument that including stages of qualification based on fuzzy inference and categorization makes this method especially useful for selecting from a large set of potential suppliers and also for first time purchase.