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Geometric Programming with Intuitionistic Fuzzy Coefficient

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Fuzzy Information and Engineering and Decision (IWDS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 646))

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Abstract

An geometric programming model is presented with the intuitionistic fuzzy coefficient, and then the model is turned into a crisp geometric programming based on centain accuracy degree of intuitionistic fuzzy sets, the duality theory is used to solve the crisp geometric programming. And finally, two numerical examples are given to illustrate the feasibility and effectiveness.

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Acknowledgements

This work is supported by the General Fund Project of the Ministry of Education and Social Science Research (16YJAZH081), the Innovation Capability of Independent Innovation to Enhance the Class of Building Strong School Projects of Colleges of Guangdong Province (2015KQNCX094, 2015KTSCX095), the Natural Science Foundation of Guangdong Province (2016A030313552, 2016A030307037).

Recommender: Academic Conference on 30th anniversary of fuzzy geometric programming and 40th education year by and of Professor Cao Bingyuan.

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Authors and Affiliations

  1. College of Science, Shenyang Agricultural University, Shenyang, 110866, Liaoning, People’s Republic of China

    Ji-hui Yang

  2. Department of Applied Mathematics, Guangdong University of Finance, Guangzhou, 510521, Guangdong, People’s Republic of China

    Xue-gang Zhou

  3. Guangzhou Vocational College of Science and Technology, Guangzhou, 510550, Guangdong, China

    Pei-hua Wang

Authors
  1. Ji-hui Yang
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  2. Xue-gang Zhou
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  3. Pei-hua Wang
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Corresponding authors

Correspondence to Xue-gang Zhou or Pei-hua Wang .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational College of Science and Technology, Guangzhou, China

    Bing-Yuan Cao

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Yang, Jh., Zhou, Xg., Wang, Ph. (2018). Geometric Programming with Intuitionistic Fuzzy Coefficient. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-66514-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66513-9

  • Online ISBN: 978-3-319-66514-6

  • eBook Packages: EngineeringEngineering (R0)

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