51. AN OPTIMIZED MODEL FOR NEUTROSOPHIC MULTI-CHOICE GOAL PROGRAMMING.
- Author
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NAFEI, AMIRHOSSEIN, CHIEN-YI HUANG, AZIM, SEYED MOHAMMADTAGHI, and JAVADPOUR, AMIR
- Subjects
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GOAL programming , *NEUTROSOPHIC logic , *DECISION making , *ALGEBRA , *BOUNDARY value problems - Abstract
Goal Programming (GP), as a generalization of linear programming, is a proper technique for handling Multi-Objective Decision-Making (MODM) problems. Using this technique, we can determine multiple aspiration levels for each objective. The Neutrosophic Set (NS) theory is a powerful tool to deal with indeterminacy and inconsistent data. This paper provides a new idea to formulate Neutrosophic Multi-Choice Goal Programming (NMCGP) problems to simulate real-life situations more realistically. Also, to show the low computational complexity of the proposed model, the Space and Time complexity criteria are used in the Python language. Eventually, a practical mathematical example is solved to present the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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