International Journal of Soft Computing

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Solving Fuzzy Multi-Objective Non-Linear Illiteracy Problem Via Fuzzy Ranking Functions and Particle Swarm Optimization

Assem Tharwat, Shaimaa Talaat and Ahmed EL-Sawy
Page: 482-486 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Illiteracy Problem (IP) is an important problem in the entire world. The distance is an essential factor for the IP, so one of problems in IP is to select best locations to construct classrooms. In this study a multi-objective non-linear illiteracy problem is developed with uncertainty (Fuzzy) parameters (FMNIP). The fuzzy parameters of FMNIP are characterized as the triangular form. Fuzzy ranking functions have been used to transform the fuzzy parameter into crisp one. Finally, one of the Artificial Intelligent (AI) approaches called Particle Swarm Optimization technique (PSO) is developed to solve the proposed problem.

How to cite this article:

Assem Tharwat, Shaimaa Talaat and Ahmed EL-Sawy. Solving Fuzzy Multi-Objective Non-Linear Illiteracy Problem Via Fuzzy Ranking Functions and Particle Swarm Optimization.
DOI: https://doi.org/10.36478/ijscomp.2016.482.486
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2016.482.486