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Computing in Engineering and Technology pp 155–164Cite as

Optimal Solution for Fuzzy Assignment Problem and Applications

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1025))

Abstract

Assignment problem is the biggest significant problem in decision-making. In this paper, a novel technique is planned to discover the best possible solution to a balanced fuzzy assignment problem (FAP). We derive two formulae; one is related to the odd number of fuzzy numbers and another is related to the even number of fuzzy numbers to discover better answer from the existing answer to the FAP. Proposed technique give the best possible solution to balanced FAP in the fewer number of iteration than existing techniques. An algebraic illustration is specified to authenticate the process of proposed technique which is based on industrial environment and education domain.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Dr. Babasaheb Ambedkar, Marathwada University, Aurangabad, 431004, MS, India

    Sanjivani M. Ingle & Kirtiwant P. Ghadle

Authors
  1. Sanjivani M. Ingle
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  2. Kirtiwant P. Ghadle
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Corresponding author

Correspondence to Sanjivani M. Ingle .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India

    Brijesh Iyer

  2. Department of Computer Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India

    P. S. Deshpande

  3. Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    S. C. Sharma

  4. Deogiri Institute of Engineering and Management Studies, Aurangabad, Maharashtra, India

    Ulhas Shiurkar

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Ingle, S.M., Ghadle, K.P. (2020). Optimal Solution for Fuzzy Assignment Problem and Applications. In: Iyer, B., Deshpande, P., Sharma, S., Shiurkar, U. (eds) Computing in Engineering and Technology. Advances in Intelligent Systems and Computing, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-32-9515-5_15

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