نتایج جستجو برای: fuzzy numbers fns

تعداد نتایج: 282891  

Journal: :علوم 0

in this paper, by using a new approach on distance between two fuzzy numbers, we construct a new ranking system for fuzzy number which is very realistic and also matching our intuition as the crisp ranking system on r.

Journal: :Applied sciences 2021

The article presents a multidimensional type 2 epistemic fuzzy arithmetic (MT2EF-arithmetic) based on the new body definition of set (T2FS), which in authors’ opinion, is more suitable for computing than current versions (FA) border T2FS. proposed MT2EF-arithmetic designed variables and has mathematical properties that allow obtaining universal algebraic calculation results. performs calculatio...

Journal: :iranian journal of fuzzy systems 0
fazlollah abbasi department of mathematics ayatollah amoli branch, islamic azad university, amol, iran tofigh allahviranloo department of mathematics, science and research branch, islamic azad university, tehran, iran saeid abbasbandy department of mathematics, science and research branch, islamic azad university, tehran, iran

fuzzy measures are suitable in analyzing human subjective evaluation processes. several different strategies have been proposed for distance of fuzzy numbers. the distances introduced for fuzzy numbers can be categorized in two groups:1. the crisp distances which explain crisp values for the distance between two fuzzy numbers.2. the fuzzy distance which introduce a fuzzy distance for normal fuz...

Journal: :Fuzzy Sets and Systems 2003
Khaled A. Hashem Nehad N. Morsi

We address the problem of identifying a useful set of mutually compatible separation axioms for each category T-FNS of T-neighbourhood spaces. It should contain one of T-complete regularity that characterizes T-uniformizability, as indeed we achieve here. This seems to necessitate the parameterization of most separation axioms by the triangular norm T, with the exception of the two axioms T0 an...

Journal: :journal of mahani mathematical research center 0
saed f. mallak palestine technical university -kadoorie department of applied mathematics duha m. bedo palestine technical university -kadoorie department of applied mathematics

in a previous work, we introduced particular fuzzy numbers anddiscussed some of their properties. in this paper we use the comparison methodintroduced by dorohonceanu and marin[5] to compare between these fuzzynumbers.

Journal: :iranian journal of fuzzy systems 2012
r. ezzati s. khezerloo z. valizadeh n. mahdavi-amiri

we present a model and propose an approach to compute an approximate solution of fully fuzzy linear system $(ffls)$ of equations in which all the components of the coefficient matrix are either nonnegative or nonpositive. first, in discussing an $ffls$ with a nonnegative coefficient matrix, we consider an equivalent $ffls$ by using an appropriate permutation to simplify fuzzy multiplications. t...

Journal: :نظریه تقریب و کاربرد های آن 0
مهران چهلابی دانشگاه آزاد سواد کوه یزد

in this paper, rst a design is proposed for representing fuzzy polynomials withinput fuzzy and output fuzzy. then, we sketch a constructive proof for existenceof such polynomial which can be fuzzy interpolation polynomial in a set given ofdiscrete points rather than a fuzzy function. finally, to illustrate some numericalexamples are solved.

Journal: :iranian journal of fuzzy systems 2009
antonio maturo

the operations in the set of fuzzy numbers are usually obtained bythe zadeh extension principle. but these definitions can have some disadvantagesfor the applications both by an algebraic point of view and by practicalaspects. in fact the zadeh multiplication is not distributive with respect tothe addition, the shape of fuzzy numbers is not preserved by multiplication,the indeterminateness of t...

Journal: :journal of industrial engineering, international 2007
f luban

the goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project x is a good investment”. this process has to enable the decision maker to compare several alternative invest...

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