CFP last date

by
Moumita Deb,
P. K. De

International Journal of Computer Applications |

Foundation of Computer Science (FCS), NY, USA |

Volume 80 - Number 2 |

Year of Publication: 2013 |

Authors: Moumita Deb, P. K. De |

10.5120/13830-1428 |

Moumita Deb, P. K. De . Algorithm for Solving Fuzzy Multiobjective Linear Fractional Programming Problem by Additive Weighted Method. International Journal of Computer Applications. 80, 2 ( October 2013), 1-6. DOI=10.5120/13830-1428

@article{
10.5120/13830-1428,

author = {
Moumita Deb,
P. K. De
},

title = { Algorithm for Solving Fuzzy Multiobjective Linear Fractional Programming Problem by Additive Weighted Method },

journal = {
International Journal of Computer Applications
},

issue_date = { October 2013 },

volume = { 80 },

number = { 2 },

month = { October },

year = { 2013 },

issn = { 0975-8887 },

pages = {
1-6
},

numpages = {9},

url = {
https://ijcaonline.org/archives/volume80/number2/13830-1428/
},

doi = { 10.5120/13830-1428 },

publisher = {Foundation of Computer Science (FCS), NY, USA},

address = {New York, USA}

}

%0 Journal Article

%1 2024-02-06T21:53:28.378366+05:30

%A Moumita Deb

%A P. K. De

%T Algorithm for Solving Fuzzy Multiobjective Linear Fractional Programming Problem by Additive Weighted Method

%J International Journal of Computer Applications

%@ 0975-8887

%V 80

%N 2

%P 1-6

%D 2013

%I Foundation of Computer Science (FCS), NY, USA

In this paper attention has been paid to the study of multiobjective linear fractional programming problem (MOLFPP) by using fuzzy set theoretic approach. In this approach, MOLFPP is transformed into multiobjective linear programming problem (MOLPP) by suitable transformation. In algorithm-I, MOLFPP is transformed into MOLPP by using fuzzy set theory and the pareto optimal solution of the transformed MOLPP is obtained by applying Zimmermann's min-operator model and simplex method. Further we have used additive weighted method to modify the above approach. Algorithm-II has been presented to find the pareto optimal solution of MOLFPP by applying additive weighted method. To demonstrate the applicability of the proposed approach, one numerical example is solved to find the pareto optimal solution by applying this two algorithms.

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