Graded mean integration representation
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. Webof 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
Graded mean integration representation
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WebJan 1, 2000 · The Graded Mean Integration Representation of fuzzy number was introduced, by Chen, in 1998, to defuzzify, to order, to measure the distance, and to … 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 …
WebMay 1, 2003 · The graded mean integration representation of the triangular fuzzy number Y becomes P (Y) = i (c+ 4a + b). (2) Third, according to the L-l-R-l inverse function arithmetic principle (Definition 1) and the graded mean integration representation method, we define the representation of the addition operation on triangular fuzzy numbers as … 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 ...
WebIn the present paper, the study of fully fuzzy linear fractional programming problem (FFLFPP) using graded mean integration representation method is discussed where all … 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 …
WebMay 24, 2013 · These include the triangular fuzzy numbers and algebraic operations, the linguistic values, the graded mean integration representation (GMIR) method, and the modified distance measure approach, respectively. 2.1. Triangular Fuzzy Numbers and the Algebraic Operations
WebOct 1, 2024 · This study aims to expand the existing scientific, theoretical and empirical knowledge about the influence of the variables age, gender, nationality and place of residence on the probability of developing social skills that generate social wellbeing, and, in addition, to identify the relationship between the most influential variable and the … debra lathrop waukeshaWebLanguage links are at the top of the page across from the title. debra king atlanta cosmetic dentistryWebBy 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 … debra laverty syracuse nyWebMay 24, 2016 · Please refer to Sect. 11.1 for the basic definitions and operations related to fuzzy sets, such as triangular fuzzy number, linguistic variable, and the graded mean integration representation method, which will be applied in the proposed model. 2 Risk Factor Fuzzy Digraph and Matrix Representation debra lawrence morgan lewisWebSecondly, 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 … debra landau-kennis and associatesWebJul 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. feast day of philomenaWebAlthough ecopreneur selection is a strategic key to project success, construction industry lacks a systematic approach for decision-making processes. When historical data are not … debra laws net worth