International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 196 - 211

A Multiobjective Fuzzy Chance Constrained Programming Model for Land Allocation in Agricultural Sector: A case study

Authors
Animesh Biswas1, *, Nilkanta Modak2
Department of Mathematics, University of Kalyani, Kalyani, West Bengal – 741235, INDIA
*Corresponding author.
Corresponding Author
Animesh Biswas
Received 12 December 2015, Accepted 28 September 2016, Available Online 1 January 2017.
DOI
10.2991/ijcis.2017.10.1.14How to use a DOI?
Keywords
Land allocation problem; Fuzzy chance constrained programming; Fuzzy number; Fuzzy goal programming; Fuzzy random variable
Abstract

In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming. Optimal production of seasonal crops and related expenditures are considered from the viewpoint of proper utilization of total cultivating land and different farming resources. Some resource parameters associated with the probabilistic constraints are taken as normally distributed fuzzy random variables. The potential use of this methodology is illustrated by a case example.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
196 - 211
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.14How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Animesh Biswas
AU  - Nilkanta Modak
PY  - 2017
DA  - 2017/01/01
TI  - A Multiobjective Fuzzy Chance Constrained Programming Model for Land Allocation in Agricultural Sector: A case study
JO  - International Journal of Computational Intelligence Systems
SP  - 196
EP  - 211
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.14
DO  - 10.2991/ijcis.2017.10.1.14
ID  - Biswas2017
ER  -