TY  - JOUR
T1  - Solving Fuzzy Multi-Objective Non-Linear Illiteracy Problem Via Fuzzy
Ranking Functions and Particle Swarm Optimization
AU - EL-Sawy, Ahmed AU - Tharwat, Assem AU - Talaat, Shaimaa 
JO  - International Journal of Soft Computing
VL  - 11
IS  - 7
SP  - 482
EP  - 486
PY  - 2016
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2016.482.486
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2016.482.486
KW  - Fuzzy
KW  -fuzzy ranking
KW  -illiteracy problem
KW  -particle swarm optimization
KW  -FWNIP
AB  - 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.
ER  -