نتایج جستجو برای: fuzzy number

تعداد نتایج: 1249424  

2006
Zaiwu Gong Sifeng Liu

Properties of fuzzy complementary preference relation have been studied. Based on the transformation between fuzzy complementary preference relation and reciprocal fuzzy preference relation, this paper proposes definitions of additive consistency for fuzzy complementary preference relation, gives the concepts of restricted max-min transitivity, restricted max-max transitivity and weak monotonic...

2011
Ai-ling Wang

As is known to all, modern logistics activities are greatly affected by the logistic center’s distribution. With this, transportation and operating cost can be reduced and the competitiveness can be increased as well. Based on the continuous fuzzy ordered weighted operator, this paper shows the new method concerned about fuzzy data information on logistics site selection; with this method, arit...

2011
Ali F. Jameel Amir Sadeghi A. F. Jameel A. Sadeghi

In this paper, the fuzzy nonlinear programming problem is discussed. In order to obtain more accurate solution, the properties of fuzzy set and fuzzy number with linear membership function and fuzzy maximum decision maker is utilized to fuzzifying the crisp problem . An example is provided to show the effectiveness of the proposed method.

Journal: :Fuzzy Sets and Systems 2005
Maria Letizia Guerra Luciano Stefanini

We suggest the use of piecewise monotonic interpolations to approximate and represent a fuzzy number (or interval) and to derive a procedure to control the absolute error associated to the arithmetic operations (+,−, ·, :) between fuzzy numbers, in order to reduce the distance between the true result of the operation and its approximation. The monotonic functions are then used to define a param...

2012
Palash Dutta Tazid Ali

Risk assessment is a popular and important tool in decision making process. Risk assessment is generally performed using models and model is a function of some parameters which are usually affected by uncertainty. Here, we consider that model parameters are affected by epistemic uncertainty. To represent epistemic uncertainty in general triangular fuzzy number or trapezoidal fuzzy numbers are u...

In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming (abbreviated to FFLP) problems. Also, we employ linear programming (LP) with equality constraints to find a nonegative fuzzy number vector x which satisfies Ax =b, where A is a fuzzy number matrix. Then we investigate the existence of a positive solution of fully fuzzy linear system (FFLS).

Journal: :Mathematical and Computer Modelling 2007
Yue Jiao Yu-Ru Syau E. Stanley Lee

Human judgment plays an important role in the rating of enterprise financial conditions. The recently developed fuzzy adaptive network (FAN), which can handle systems whose behaviour is influenced by human judgment, appears to be ideally suited for the modelling of this credit rating problem. In this paper, FAN is used to model the credit rating of small financial enterprises. To illustrate the...

2014
M. A. Jahantigh

This study presents an approximate approach for ranking fuzzy numbers based on the centroid point of a fuzzy number and its area. The total approximate is determined by convex combining of fuzzy number’s relative and its area that based on decision maker’s optimistic perspectives. The proposed approach is simple in terms of computational efforts and is efficient in ranking a large quantity of f...

2006
Shi-Jay Chen

Fuzzy similarity measure is very useful in fuzzy information retrieval. This study presents a new method based on fuzzy-number similarity measure to deal with fuzzy information retrieval problems. The proposed method can obtain the suitable retrieval results for the user because it translate the degree of satisfaction F~ into a linguistic term, and user can easily determine whether the retrieve...

2014
M. Lalitha C. Loganathan

In that paper, the fuzzy nonlinear programming problem is discussed. In order to obtain more accurate solution, the properties of fuzzy set and fuzzy number with linear membership function and fuzzy maximum decision maker is utilized to fuzzifying the crisp problem. In the illustration, we have given a refinement to obtain this solution.

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