Fuzzy nonlinear goal programming using genetic algorithm
Proceedings of the 21st international conference on Computers and industrial engineering
Computers and Industrial Engineering
An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Multi-coefficients goal programming
Computers and Industrial Engineering
Solving multi-choice linear programming problems by interpolating polynomials
Mathematical and Computer Modelling: An International Journal
Revised multi-segment goal programming: Percentage goal programming
Computers and Industrial Engineering
Journal of Intelligent Manufacturing
Computers and Industrial Engineering
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Goal programming (GP) is an important analytical approach devised to solve many real-word problems. However, the condition of multi-segment aspiration levels (MSAL) may exist in many marketing or decision management problems. The problem cannot be solved by current GP techniques. In order to improve the effective of GP and solve the multi-segment goal programming (MSGP) problem, this paper provides a new idea for programming the MSAL problem from multi-aspiration contribution levels viewpoint. This significantly improved the utility of GP in real application; in addition, two illustrative examples are included to demonstrate the solution procedure of the proposed model.