Let be a simple undirected fuzzy graph. A subset S of V is called a dominating set in G if every vertex in V-S is effectively adjacent to at least one vertex in S. A dominating set S of V is said to be a Independent dominating set if no two vertex in S is adjacent. The independent domination number of a fuzzy graph is denoted by (G) which is the smallest cardinality of a independent dominating ...

Combustion optimization adjustment can effectively suppress NOx emissions from power plant boilers. Current combustion optimization adjustment methods involve nonlinear optimization based on the boiler combustion model, such as optimization by a genetic algorithm or particle swarm algorithm. The computational complexity of these methods results in poor real-time performance, which limits their ...

The aim of this work is to integrate the ideas of flexibility and uncertainty into Allen’s interval-based temporal framework, defining a new formalism, called IA fuz, which extends classical Interval Algebra (IA), in order to express qualitative fuzzy constraints between intervals. We generalize the classical operations between IA-relations to IA fuz-relations, as well as the concepts of minima...

The aim of fuzzy risk analysis is to evaluate the probability of failure of every component consisting of many sub-components and the probability of failure is the combination of estimations of severity of loss and probability of failure of sub-components which are vaguely known. In this paper, we present a new method for fuzzy risk analysis with linguistic evaluating values. Firstly, we propos...

Socio-economic processes informatization is largely implemented by using various documents electronic storage, including scanned handwritten texts or their fragments images, in particular, the form of officials' original signatures. Among very diverse tasks scans repositories computer analysis, direction automatic search for images fragments, that contain outlines key words interest, quite rele...

The main purpose of this paper is to develop a fuzzy multiple criteria decision-making (MCDM) model to evaluate the investment risk of location selection for container terminals. Firstly, some concepts and methods used to develop a fuzzy MCDM algorithm are briefly introduced. Secondly, a step-by-step fuzzy MCDM algorithm based on the concept of integral value is proposed. Finally, a numerical e...

This paper formulates supplier evaluation and selection as a multi-criteria decision-making (MCDM) problem with subjective and fuzzy preferences of decision makers over evaluation criteria. As an outcome, this paper provides decision makers with a decision support system that presents the Pareto fronts, a set of best possible high-quality suppliers and optimized business operation levels from s...

because of insufficient factors including facilities, budget, human resources as well as time watershed operation is not applicable throughout the basin. as a result, watershed operation should be performed in the sub-basins in which is more affectionate and the risk frequency of some events such as destruction, degradation; physical and financial damage and also flooding are considerably high....

This paper presents two fuzzy filters for the removal of both Impulse and Gaussian noise in color images. A combination of these two filters also helps in eliminating a mixture of these two noises. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighbourhood of the pixel of interest (i.e. the central pixel) and to compute the media...