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Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment

Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment

P. Senthil Kumar
Copyright: © 2020 |Volume: 9 |Issue: 1 |Pages: 34
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781522598411|DOI: 10.4018/IJFSA.2020010101
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MLA

Kumar, P. Senthil. "Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment." IJFSA vol.9, no.1 2020: pp.1-34. https://doi.org/10.4018/IJFSA.2020010101

APA

Kumar, P. S. (2020). Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment. International Journal of Fuzzy System Applications (IJFSA), 9(1), 1-34. https://doi.org/10.4018/IJFSA.2020010101

Chicago

Kumar, P. Senthil. "Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment," International Journal of Fuzzy System Applications (IJFSA) 9, no.1: 1-34. https://doi.org/10.4018/IJFSA.2020010101

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Abstract

When people solve real-life SAP they tend to face the uncertainty state as well as hesitation due to many uncontrollable factors. To deal with uncertainty and hesitation many authors have suggested the intuitionistic fuzzy representation for the data. In this article, the author tried to categorise the SAP under uncertain environment. He formulates the IFSAP and utilizes the TIFN to deal with uncertainty and hesitation. The SAP has uncertainty and hesitation in cost/time/profit/production is known as FIFSAP. The PSK (P. Senthil Kumar) method for finding an optimal solution for FIFAP is extended to solve the FIFSAP and the optimal objective value of FIFSAP is obtained in terms of TIFN. The main advantage of this method is that the optimal solution/assignment of FIFSAP is obtained without using the Hungarian method and intuitionistic fuzzy reduction method. Moreover, the proposed method is computationally very simple and easy to understand. The numerical example is presented to demonstrate computing procedure. The results affirm efficiency of the proposed method.

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