Researchers and practitioners are dealing intensively with the real option valuation. One of generalised types is reversible multi-mode American options. These options solved mainly by applying stochastic discrete binomial models. Uncertainty a typical feature valuation, two basic representation distinguished: risk (stochastic) imprecision (fuzzy). The fuzzy-stochastic models indicate modelling...

In the present paper, the researchers discuss the problem of weighted interval approximation of fuzzy numbers. This interval can be used as a crisp set approximation with respect to a fuzzy quantity. Then, by using this, the researchers propose a novel approach to ranking fuzzy numbers. This method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the pre...

In this paper, we investigate the fuzzy logic based system characteristics of MX/G/1 retrial queuing system with Bernoulli vacation schedule. The service time and vacation time are assumed to be generally distributed. It is found in many practical situations that the queuing models with fuzzy parameters are much more realistic than the classical crisp parameters based queuing models. We have...

The conventional fuzzy c-spherical shells (FCSS) clustering model is extended to cluster involving non-crisp numbers, in this paper. This achieved by a vectorized representation of distance, between two numbers like the crisp case. Using proposed method, named vector (VFCSS), all and can be clustered FCSS algorithm unique structure. Therefore, we implement over various types structure with only...

In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear Bilevel programming (FFLBLP) problems by representing all the parameters as triangular fuzzy numbers. In the proposed method, the given FFLBLP problem is decomposed into three crisp linear programming (CLP) problems with bounded variables constraints, the three CLP problems are solved separately...

Abstract This article focuses on solving the fuzzy transportation problem using dual approach of simplex. method uses a strong ranking technique for iterative values trapezoidal numbers within problem. Because approach, (in which cost, demand, and supply appear as numbers) is transformed into crisp valued LPP (Linear Programming Problem) employed simplex procedure solving. The earlier task obta...

--------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we propose a fuzzy expert system framework which constructs large scale knowledge based system effectively for diabetes. The knowledge is ...

We present a methodology for characterization and an approach for computing the solutions of fuzzy linear systems with LR fuzzy variables. As solutions, notions of exact and approximate solutions are considered. We transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares problem. If the corresponding crisp system is incompatible, then the fuzzy ...

Since fuzzy numbers are not linearly ordered a median of a fuzzy sample cannot be determined directly as it happens with crisp observations. Even the very notion of a median of a fuzzy sample is not well established. Therefore we propose some definitions of the fixed-shape fuzzy median of a fuzzy sample as a member of a given class of fuzzy numbers which minimizes the distance to the sample. We...