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Optimal Land Allocation in Agricultural Production Planning Using Fuzzy Goal Programming

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

Abstract

Agricultural production is dependent on several imprecise factors and therefore the parameters used in defining fuzzy goals in agricultural production system should be imprecise rather than crisp. Thus for modeling of such systems, we take coefficients defining fuzzy goal as fuzzy number rather than crisp one. In this paper, we deal with the agricultural production planning problem as undertaken by Ghosh et al. (Opsearch 30(1):15–34, 1993) in the more realistic case of having fuzzy inequality with fuzzy coefficients. We transformed the problem as fuzzy goal programming problem and used the triangular possibility distribution for obtaining solution. The results obtained have been compared with the existing one to show its superiority.

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Authors and Affiliations

  1. Department of Mathematics, Banaras Hindu University, Varanasi, 221005, India

    Babita Mishra & S. R. Singh

Authors
  1. Babita Mishra
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  2. S. R. Singh
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Correspondence to Babita Mishra .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Babita Mishra, Singh, S.R. (2016). Optimal Land Allocation in Agricultural Production Planning Using Fuzzy Goal Programming. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_23

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

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