Graded mean integration representation
WebJul 15, 2008 · Abstract: In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized L-R type fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of ldquogreater or less than xrdquo and ldquoabout xrdquo. WebBased on the idea of graded mean integration-representation distance (GMIR), Hsieh and Chen (1999) presented a similarity measure for …
Graded mean integration representation
Did you know?
WebSecondly, by graded mean integration representation method and are the inverse functions of L and R, respectively and the graded mean -level value of generalized fuzzy … WebTHE GRADED MEAN INTEGRATION REPRESENTATION OF L-R TYPE FUZZY NUMBERS In general, a generalized L-R type fuzzy number A can be described as any fuzzy subset of the real line R whose membership function [[mu].sub.A] satisfies the following conditions. (1) [[mu].sub.A] is a continuous mapping from R to the closed …
WebIn this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized L-R type fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of ldquogreater or less than xrdquo and ldquoabout xrdquo. It is reasonable to say ldquothe fuzzy distance of about 3 and about …
WebThis manuscript forms a redundancy allocation problem for a hypothetical series-parallel system in which the parameters of the system are fuzzy and the fuzzy nature is … WebJan 21, 2016 · Two popular defuzzification methods, namely the signed distance technique, a ranking method for fuzzy numbers, and the graded mean integration representation method are employed to find the estimate of the total …
WebNov 1, 2006 · The graded [lambda]-preference integration representation of A is, P (A) = [ [integral].sub.0.sup.w] h (L-1 (h)+ (1-)R-1 (h)) dh / [ [integral].sub.0.sup.w] h dh = [ [integral].sub.0.sup.w] h ( [ [lambda] (c + (a - c) (h/w) [.sup.1/k]) + (1- [lambda]) (d - (d - b) (h/w) [.sup.1/k])]/2)dh / [ [integral].sub.0.sup.w] hdh
http://growingscience.com/beta/tags/Graded+mean+integration+representation+method/ list of busch gardens ridesWebJun 16, 2005 · Suppose P ( Ai) and P ( Aj) are the graded mean integration representations of the triangular fuzzy numbers Ai and Aj, respectively. Define that A i > A j ⇔ P ( A i) > P ( A j), A i < A j ⇔ P ( A i) < P ( A j), A i = A j ⇔ P ( A i) = P ( A j). 2.2. Ideal and anti-ideal concepts images of tdfWebAlthough ecopreneur selection is a strategic key to project success, construction industry lacks a systematic approach for decision-making processes. When historical data are not … images of teacher appreciation dayWebJan 21, 2016 · Two popular defuzzification methods, namely the signed distance technique, a ranking method for fuzzy numbers, and the graded mean integration representation … images of teacher cartoonWebMay 1, 2003 · Based on the graded multiple integrals representation method, it is easy to compute the canonical representation of multiplication operation on fuzzy numbers. … images of teacher professional developmentWebThe transformation is performed by the graded mean integration, representation method proposed by Chou [20]. The canonical representation of the addition and the multiplication operations on triangular fuzzy numbers is then used to obtain the PIS and the NIS. To avoid the problem with list of burt\u0027s bees lip balm flavorsWebinverse function arithmetic principle and graded mean integration representation. Step 1: Identify stakeholders Stakeholder identification is a most important activity of a requirements elicitation process. Therefore, the first step of our method is to identify the primary weight [11].and secondary stakeholders [8, 10]. list of bus drivers