Similarity measure for type‐2 fuzzy sets with an application to students' evaluation | Zendy

Singh Pushpinder | Zendy

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Similarity measure for type‐2 fuzzy sets with an application to students' evaluation

Author(s) -

Singh Pushpinder

Publication year - 2015

Publication title -

computer applications in engineering education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.478

H-Index - 29

eISSN - 1099-0542

pISSN - 1061-3773

DOI - 10.1002/cae.21642

Subject(s) - measure (data warehouse) , similarity (geometry) , similarity measure , consistency (knowledge bases) , type (biology) , fuzzy logic , fuzzy set , computer science , data mining , mathematics , artificial intelligence , algorithm , theoretical computer science , ecology , biology , image (mathematics)

In this paper, we propose a new similarity measure for type‐2 fuzzy sets. Validation has been investigated through the consistency of the proposed similarity measure. For practical use, a new method is proposed for the students’ answer book evaluation using the proposed similarity measure. This method is illustrated by the numerical example. © 2015 Wiley Periodicals, Inc. Comput. Appl. Eng. Educ. Comput Appl Eng Educ 23:694–702, 2015; View this article online at wileyonlinelibrary.com/journal/cae ; DOI 10.1002/cae.21642

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