Paper Info
Title
Fuzzy Linguistic Variable Matrix and Parabola-Based Fuzzy Normal Distribution
Abstract
This paper attempts to present the new approach to design sufficient number of systematic fuzzy linguistics in matrix form and map the Fuzzy Linguistic Variable Matrix, which contains linguistic terms, into numeric domain using Fuzzy Normal Distribution based on the Parabola-based Membership Function. Existing fuzzy set theory is difficult to design the systematic and sufficient fuzzy linguistics. Due to this reason, in most practice, giving insufficient fuzzy linguistics induces inaccurate calculation whilst giving excessive fuzzy linguistics induces the parameter design problems and calculation performance. This paper presents Fuzzy Linguistic Variable Matrix and Parabola-based Fuzzy Normal Distribution (FND) as preferred framework to address the problem.
Year
DOI
Venue
2006
10.1007/978-0-387-44641-7_22
Intelligent Information Processing
Keywords
Field
DocType
fuzzy logic,fuzzy set,parabola-based membership function,fuzzy normal distribution,fuzzy linguistics variable matrix,directional hedge linguistics
Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy mathematics,Fuzzy set,Fuzzy number,Fuzzy associative matrix,Linguistics
Conference
Citations 
PageRank 
References 
1
0.43
4
Authors
2
Name
Order
Citations
PageRank
Kevin K. F. Yuen191.57
Henry C. W. Lau230133.27