New Approach to Solve Fuzzy Linear Programming Problems by the Ranking Function | Zendy

A Karpagam | Zendy; Sumathi Dr.P | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

New Approach to Solve Fuzzy Linear Programming Problems by the Ranking Function

Author(s) -

A Karpagam,

Sumathi Dr.P

Publication year - 2014

Publication title -

bonfring international journal of data mining

Language(s) - English

Resource type - Journals

eISSN - 2277-5048

pISSN - 2250-107X

DOI - 10.9756/bijdm.6123

Subject(s) - mathematical optimization , fuzzy number , linear programming , ranking (information retrieval) , fuzzy logic , fuzzy set operations , fuzzy transportation , linear fractional programming , fuzzy classification , mathematics , defuzzification , computer science , fuzzy mathematics , algorithm , fuzzy set , artificial intelligence

In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming problems with triangular fuzzy numbers. A computational method for solving fully fuzzy linear programming problems (FFLPP) is proposed, based upon the new Ranking function. The proposed method is very easy to understand and to apply for fully fuzzy linear programming problems occurring in real life situations as compared to the existing methods. To illustrate the proposed method numerical examples are solved.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research