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. WebSep 1, 2024 · A new graded mean integration representation (GMIR) of GITrFNs is proposed. The GMIR of GITrFNs presented in [4] overlooked the maximum membership degrees, which results in that GITrFNs with different maximum membership degrees have the same GMIR. Apparently, it is unreasonable. The proposed new GMIR of GITrFN …
Graded mean integration representation
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WebLanguage links are at the top of the page across from the title. WebIn the present paper, the study of fully fuzzy linear fractional programming problem (FFLFPP) using graded mean integration representation method is discussed where all …
WebThen, the graded mean integration representation (GMIR) of a type 1 fuzzy set (T1FS) is extended to the IT2FS through the parametric form of an IT2FS. The GMIR of the … WebJan 23, 2024 · Generalized Integrated Gradients (GIG) is a new credit assignment algorithm that overcomes the limitations of both Shapley and Aumann-Shapley by applying the …
Webcanonical representation of operations on triangular fuzzy numbers that are based on the graded mean integration representation method leads to the result that multiplication and addition of two fuzzy numbers can be represented as a crisp number. This method is widely used in many applications such as multi-criteria decision making , risk ... WebWe use function principle as arithmetic operations to find the total inventory cost in fuzzy sense and Graded Mean – Integration Representation Method to defuzzify the fuzzy total inventory cost. Inflation is used to find the present worth of total cost.
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 …
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 … birchwood clothingWebBased on the idea of graded mean integration-representation distance (GMIR), Hsieh and Chen (1999) presented a similarity measure for … birchwood collieryWebIn 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 … birchwood club highland park ilWebof the optimal weight coefficients are calculated by Graded Mean Integration Representation formula. This feature also reduces time complexity without affecting the quality of the solution. Two practical examples are presented to verify the reliability and feasibility of the proposed fuzzy group FUCOM. The obtained results birchwood c of e primary schoolWebBy formula (1), the graded mean integration representation of A is P(A) = !w 0 h (2 c + d + (a - c- d + b)h/w) dh / h dh! 0 w = 6 c2a2b+d. (2) Generalized triangular fuzzy … birchwood claddingWebJan 1, 2024 · Weights of criteria are calculated by using graded mean integration representation method. Using the concept of BWM, nonlinearly constrained optimization problems are formed to obtain generalized interval-valued trapezoidal fuzzy weights of different criteria and alternatives. To check the reliability of the GITrFBWM, consistency … birchwood c of e primary school twitterbirchwood cinemas port huron michigan