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De-i-fuzzification of linear interval-valued intuitionistic fuzzy number and its application in operation research arena

Author

Listed:
  • Avishek Chakraborty
  • Shilpi Pal
  • Sankar Prasad Mondal
  • Shariful Alam

Abstract

In this article, we have envisaged the linear interval valued intuitionistic fuzzy number (IVIFN) from various viewpoints. We have introduced the technique of ranking by using the concept of distance measure of linear interval valued intuitionistic fuzzy number. Additionally, the concept of de-i-fuzzification is introduced here using two disjunctive logical approaches and its result is explained in this article which will help us converting a linear interval valued intuitionistic fuzzy number into a crisp number. Lastly, the validation of the model is observed by using two different real life problems firstly, in inventory control and secondly, in transportation arena. The paper suggests two different methods of de-intuitification in linear interval valued intuitionistic fuzzy domain and the comparison between the two methods by using a suitable algorithm has been observed in above real life scenarios that connects all invented results.

Suggested Citation

  • Avishek Chakraborty & Shilpi Pal & Sankar Prasad Mondal & Shariful Alam, 2023. "De-i-fuzzification of linear interval-valued intuitionistic fuzzy number and its application in operation research arena," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 47(2), pages 143-172.
    • Handle: RePEc:ids:ijores:v:47:y:2023:i:2:p:143-172
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