A multicriteria fuzzy linear programming method for water supply system development planning
Fuzzy Sets and Systems
A parametric approach to fuzzy linear programming
Fuzzy Sets and Systems
An interactive fuzzy programming system
Fuzzy Sets and Systems
A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
An application of fuzzy goal programming to a multiobjective project network problem
Fuzzy Sets and Systems
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
A review and classification of fuzzy mathematical programs
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Static Bayesian games with finite fuzzy types and the existence of equilibrium
Information Sciences: an International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming
Mathematical and Computer Modelling: An International Journal
A fuzzy solution approach for multi objective supplier selection
Expert Systems with Applications: An International Journal
Inexact two-phase fuzzy programming and its application to municipal solid waste management
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
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In this study, a two-phase procedure is introduced to solve multi-objective fuzzy linear programming problems. The procedure provides a practical solution approach, which is an integration of fuzzy parametric programming (FPP) and fuzzy linear programming (FLP), for solving real life multiple objective programming problems with all fuzzy coefficients. The interactive concept of the procedure is performed to reach simultaneous optimal solutions for all objective functions for different grades of precision according to the preferences of the decision-maker (DM). The procedure can be also performed to obtain lexicographic optimal and/or additive solutions if it is needed. In the first phase of the procedure, a family of vector optimization models is constructed by using FPP. Then in the second phase, each model is solved by FLP. The solutions are optimal and each one is an alternative decision plan for the DM.