Distance and Similarity Measures Including New Hesitant Degree on Hesitant Fuzzy Set | Zendy

Biplab Singha | Zendy; Mausumi Sen | Zendy; Nidul Sinha | Zendy

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Distance and Similarity Measures Including New Hesitant Degree on Hesitant Fuzzy Set

Author(s) -

Biplab Singha,

Mausumi Sen,

Nidul Sinha

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.d8809.118419

Subject(s) - similarity (geometry) , degree (music) , distance measures , set (abstract data type) , measure (data warehouse) , computer science , similarity measure , fuzzy set , mathematics , fuzzy logic , artificial intelligence , data mining , physics , acoustics , image (mathematics) , programming language

Hesitant degree plays an important role for finding the distance and similarity measures between two objects. Many researchers have developed many distance and similarity measures so far but in real life some situations arises where these measures fail to achieve the satisfactory result. In this paper, a new hesitant degree is introduced in the distance and similarity measures so that the limitations which are found can be easily handled with a satisfactory outcome. Finally, the validity of the proposed distance measure is illustrated with a suitable example..

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