Possibilistic linear programming for managing interest rate risk
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A fuzzy approach to the multiobjective transportation problem
Computers and Operations Research
Solving fuzzy linear programming problems with modified S-curve membership function
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Information Sciences: an International Journal
Application of an integrated decision support process for supplier selection
Enterprise Information Systems
A grey-based decision-making approach to the supplier selection problem
Mathematical and Computer Modelling: An International Journal
Manufacturing delivery performance for supply chain management
Mathematical and Computer Modelling: An International Journal
A fuzzy solution approach for multi objective supplier selection
Expert Systems with Applications: An International Journal
Forecasting the yield of a semiconductor product with a collaborative intelligence approach
Applied Soft Computing
Engineering Applications of Artificial Intelligence
A hybrid harmony search algorithm for the flexible job shop scheduling problem
Applied Soft Computing
A hybrid metaheuristic approach for the capacitated p-median problem
Applied Soft Computing
Applying modified NSGA-II for bi-objective supply chain problem
Journal of Intelligent Manufacturing
Dynamic security consideration in multiobjective electricity markets
Applied Soft Computing
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In this paper, the vendor selection (VS) problem with fuzzy goals is considered. An interactive method is developed for solving multi-objective VS problems where fuzzy data are represented by using S-curve membership functions. The proposed method attempts simultaneously to minimize the total order costs, the number of rejected items and the number of late delivered items with reference to several constraints such as meeting buyers' demand, vendors' capacity, vendors' quota flexibility, vendors' allocated budget, etc. An interactive solution methodology is proposed to solve the multi-objective VS problem and to find a preferred compromise solution. Moreover, the performance of S-curve membership functions that represent uncertainty goals and constraints in VS problems with linear membership functions in an industrial case is compared.