One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...

With respect to the importance of commercial alliances in airline hypercompetitive environment, partner performance evaluation is a critical matter before making any decision about partnership. In this article, utilizing Fuzzy theory, a hybrid airline evaluation model is developed in a way that all airline performance strategic dimensions are considered, as well as, it can deal with qualitative...

with respect to the importance of commercial alliances in airline hypercompetitive environment, partner performance evaluation is a critical matter before making any decision about partnership. in this article, utilizing fuzzy theory, a hybrid airline evaluation model is developed in a way that all airline performance strategic dimensions are considered, as well as, it can deal with qualitative...

Constraint programmingmodels appear inmany sciences includingmathematics, engineering and physics. These problems aim at optimizing a cost function joint with some constraints. Fuzzy constraint programming has been developed for treating uncertainty in the setting of optimization problems with vague constraints. In this paper, a new method is presented into creation fuzzy concept for set of con...

Plant location selection is a multi-criteria decision problem and has a strategic importance for many companies. The aim of this study is to propose a fuzzy approach for Plant location selection. This paper is based on a fuzzy VIKOR (Serbian: Vlsekriterijumsko Kompromisno Rangiranje) method. In this method, the ratings of various alternatives versus various subjective criteria and the weights o...

This paper presents a newmodel of support vector machines (SVMs) that handle data with tolerance and uncertainty. The constraints of the SVM are converted to fuzzy inequality. Giving more relaxation to the constraints allows us to consider an importance degree for each training samples in the constraints of the SVM. The new method is called relaxed constraints support vector machines (RSVMs). A...

One aspect of the use of biomass for energy purposes which remains controversial concerns their full environmental sustainability. Considering the crucial importance of this problem, numerous authors have carried out evaluations of the environmental impact of the various types of biomass by means of several approaches. Although some of these methods are excellent environmental evaluation tools,...

2 Vagueness, Uncertainty and Fuzzy Logic 2 2.1 Vagueness and Uncertainty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Vagueness and Fuzzy Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 What Is Fuzzy Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.4 Agenda of Fuzzy Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

Perceived risk is the uncertainty of customers due to unpredictability of product qualities and consequences. It is the precondition of further consumption. Based on the perceived risk theory, in this article, we measure the customer’s perceived risk of on-line group purchase; then establish fuzzy synthetic evaluation model of perceived risk; analyze customer behavior; and finally draw a conclu...

This work searches the relationship between global criteria for automatic image gray level thresholding, and the subjective decision concerned to best image gray level threshold. An approach based on fuzzy membership functions is proposed to confirm this relationship. As aside, an efficient uncertainty measure arose. A set of 100 images was trained and tested, and their results will be discussed.