摘要: The computation procedure of similarity between fuzzy set and crisp set is derived. The proposed similarity measure is constructed through distance measure. And our results are compared with those of关键词: distance measure fuzzy entropy similarity measure ...
This is why recently the use of asymmetrical techniques which draw on the reasoning of complexity theory – such as fuzzy-set qualitative comparative analysis (fsQCA) – to better predict and explain real-world business phenomena using a configurational approach is being increasingly promoted. This ...
This paper presents a new approach for projecting a fuzzy number over a crisp closed convex set. Based on this approach, a kind of fuzzy linear projection equation is introduced and also it is used to solve a fuzzy system of linear equations with crisp variables, fuzzy righthand side, and ...
A Novel Rule Based Classifier for Mining Temporal Medical Databases Using Fuzzy Rough Set Approach This paper proposes a new Rule Based Classifier that uses fuzzy rough set and temporal logic in order to mine temporal patterns in clinical databases. The ... U Keerthika,R Sethukkarasi,A Kannan...
The research set out to answer pressing questions about the general implementation of PV systems, such as the technology needs for GCPVS and the answers to harmonic problems69. Bai et al. introduce a fault ride-through method for grid-tied PV systems, enhancing their performance during voltage ...
If X is the universe of discourse and its elements are denoted by x, then a fuzzy set A in X is defined as a set of ordered pairs: A=x,µAx|x∈X where μA(x) is the membership function of x in A. All properties of the crisp set are also applicable for fuzzy sets except ...
𝐴̃A˜ a fuzzy parameter which is a set defined on the fundamental set 𝑈U as 𝐴̃={(𝑎,𝜆(𝑎))|𝑎∈𝑈}A˜=a,λa|a∈U 𝐴̃𝑖A˜i fuzzy area of the ith element in the truss example 𝐴 𝛼𝑘A αk crisp subset of the fuzzy parameter 𝐴̃A...
In general, fuzzy inference is a method that interprets the values in the input vector and, based on some set of rules, assigns values to the output vector. Fuzzy Sets Fuzzy logic starts with the concept of a fuzzy set. Afuzzy setis a set without a crisp, clearly defined boundary. It...
Any set A = x X : ϕA(x), ϕA ∈ PX0 (4) is a set (crisp set) described in the classical set theory. The family of all such sets is noted by the symbol B(X). For any set A ∈ B(X), we determine its characteristic function χA ∈ {0, 1}X = 2X given by the ...
(fuzzification). In Fuzzy Logic Toolbox™ software, the input is always a crisp numerical value limited to the universe of discourse of the input variable (in this case, the interval from 0 through 10). The output is a fuzzy degree of membership in the qualifying linguistic set (always ...