Fuzzy Programming Technique and Proposed Application

Authors

  • Sachin garg CSE, JSPM’s Rajarshi Shahu College of Engineering, Tathwade, Pune, India
  • Prashant Kumar CSE, JSPM’s Rajarshi Shahu College of Engineering, Tathwade, Pune, India

DOI:

https://doi.org/10.37591/rtpl.v2i1.365

Keywords:

Fuzzy set theory, crisp linear programming, fuzzy linear programming, optimization, membership function

Abstract

A solution approach supported fuzzy linear programming is planned and applied to best machine scheduling downside. During this resolution approach, errors within the demand of assorted product throughout ensuing production period are thought of to be fuzzy in nature. In standard linear programming approach it's assumed that there's no error within the expected demand of assorted product. A fuzzy linear programming approach is planned to get an optimal resolution underneath fuzzy conditions. Within the planned method expected demand of product and; profit are expressed by fuzzy set notations. The planned fuzzy linear programming formulation is then reworked to an equivalent standard applied mathematics downside and solutions obtained by finding this reworked linear programming downside. For illustration purpose the planned method is applied to a profit maximization connected machine scheduling downside.

 

Cite this Article:
Sachin Garg, Prashant Kumar. Fuzzy Programming Technique and Proposed Application. Recent Trends in Programming Languages. 2015; 2(1): 7–11p.

References

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Published

2016-01-07

Issue

Vol. 2 No. 1 (2015)

Section

Research Articles

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