Analysis of Possibilistic Linear Programming Based on Comparison of Fuzzy Numbers --Discussed with Author

The author in proposed a fuzzy method to solve possibilistic linear programming problems, based on the rules of comparison and ranking of fuzzy sets. It seems to suffer from lack of effectiveness when transferring fuzzified constraints to unfuzzified constraints. To overcome these drawbacks, this paper suggests some modified resulting models with an illustrative example for demonstration.