نتایج جستجو برای: comparison of fuzzy numbers

تعداد نتایج: 21212945  

2007
G. Naadimuthu Fairleigh Dickinson E. S. Lee

We propose a generalized approach to the already existing crisp methods to solve the fuzzy multiattribute decision making problem. Specifically we deal with four methods, namely Simple Additive Weighting, Linear Assignment, TOPSIS and ELECTRE, where fuzzy numbers are used to represent the ratings of the alternatives and relative weights of the attributes. Through the use of fuzzy mathematics we...

Journal: :international journal of industrial mathematics 2014
t. allahviranloo a. hashemi

in this paper, we investigate the general fuzzy linear system of equations.  the  main aim of this paper is based on the embedding approach. we find the necessary and sufficient conditions for the existence of fuzzy solution of the mentioned systems.  finally, numerical examples are presented to more illustration of the proposed model.

S.H. Nasseri

Recently, fuzzy linear programming problems have been considered by many. In the literature of fuzzy linear programming several models are offered and therefore some various methods have been suggested to solve these problems. One of the most important of these problems that recently has been considered; are Fully Fuzzy Linear Programming (FFLP), which all coefficients and variables of the prob...

Journal: :journal of linear and topological algebra (jlta) 0
s. p mondal department of mathematics, national institute of technology, agartala, jirania-799046, tripura, india t. k roy department of mathematics, indian institute of engineering science and technology, shibpur, howrah-711103, west bengal, india

in this paper the solution of a second order linear di erential equations with intu-itionistic fuzzy boundary value is described. it is discussed for two di erent cases: coecientis positive crisp number and coecient is negative crisp number. here fuzzy numbers aretaken as generalized trapezoidal intutionistic fuzzy numbers (gtrifns). further a numericalexample is illustrated.

2013
R. Saneifard

Many methods for ranking fuzzy numbers have been proposed. The existing methods for ranking generalized fuzzy numbers based on the optimistic index (α) gives different values for comparing the numbers by using different values of the optimistic index (α) and it is the shortcoming of this method. So we introduce a new defuzzification using a crisp number for ordering and comparing the fuzzy numb...

Journal: :international journal of industrial mathematics 0
rahim saneifard department of applied mathematics‎, ‎urmia branch‎, ‎islamic azad university‎, ‎urmia‎, ‎iran.‎‎ rasoul saneifard department of engineering technology‎, ‎texas southern university‎, ‎houston‎, ‎texas‎, ‎usa.

the importance as well as the difficulty of the problem of ranking fuzzy numbers is pointed out. here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its signal/noise ratios, where the signal and the noise are defined as the middle-point and the spread of each $gamma$-cut of a fuzzy number, respectively. we use the va...

پایان نامه :وزارت بهداشت، درمان و آموزش پزشکی - دانشگاه علوم پزشکی و خدمات بهداشتی درمانی استان کرمانشاه 1370

cml in breif cml is characterized by the proliferation of large numbers of immature wbc in the blood and bone marrow. in most of the patients , it is a clonal disorder in which all cell lines, express the philadelphia chromosome)q/22 translocation(it accounts for 20 of all leukemias and most cases occur over 25 yrs of age. the disease usually begins insidiously,but symptoms referable to anemia ...

2014
Peide LIU Chao LIU Lili RONG Peide Liu Chao Liu Lili Rong

Intuitionistic fuzzy linguistic numbers (IFLNs) are an extension of the linguistic variables and the intuitionistic fuzzy sets, which are proposed by Wang and Li (Wang J.Q., Li J.J. (2009) The multi-criteria group decision making method based on multi-granularity intuitionistic two semantics. Science & Technology Information (33), 8-9.). In this paper, we introduced some operational laws of IFL...

Data obtained in association with many real-life random experiments from different fields cannot be perfectly/exactly quantified.hspace{.1cm}Often the underlying imprecision can be suitably described in terms of fuzzy numbers/\values. For these random experiments, the scale of fuzzy numbers/values enables to capture more variability and subjectivity than that of categorical data, and more accur...

In this paper, the concepts of positive dependence and linearlypositive quadrant dependence are introduced for fuzzy random variables. Also,an inequality is obtained for partial sums of linearly positive quadrant depen-dent fuzzy random variables. Moreover, a weak law of large numbers is estab-lished for linearly positive quadrant dependent fuzzy random variables. Weextend some well known inequ...

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