This paper presents a methodology based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) for the preparation of optimal bidding strategies corresponding unit commitment by Generation companies (Gencos) in order to gain maximum profits in a day-ahead electricity market. In a competitive electricity market with limited number of suppliers, Gencos are facing an oligopoly market rather than a ...

It is easy for an expert to express his/her preferences using fuzzy linguistic term such as ‘good’, ‘very good’ in group decision making because of uncertainty existing. The linguistic 2-tuple representation model was selected to represent fuzzy linguistic term. To obtain the objective decision power in a linguistic 2-tuple judgment matrix given by an expert, the paper put forward a new approac...

We studied here on some simple examples the interaction between valuation family, parameters and ranking result. The ranking method studied is based upon the idea of associating with a fuzzy number a scalar value, its valuation, and using this valuation to compare and order fuzzy numbers. The valuation method considered was introduced initially by the Yager and Filev. This valuation consists in...

A novel mapping of the Fuzzy ART algorithm onto a neural network architecture is described. The architecture does not utilize bi-directional synapses, weight transport, or weight duplication, and requires one fewer layer of processing elements than the architecture originally proposed by Carpenter, Grossberg, & Rosen (1991a). In the new architecture, execution of the algorithm takes constant ti...

For individual miners with the phenomenon of accident proneness, this study proposes to establish a competency model of miner safety management. On this basis, entropy-weight method is used to determine the weights of competency indexes at all levels, and fuzzy comprehensive evaluation is applied to score security competency. The computerized solving is realized with the help of Matlab programm...

In order to improve the adaptive recognition abilities of picking robot in complex environment, a fusion approach of trinocular vision in wavelet domain based on fuzzy reasoning weight was proposed. Firstly, membership functions of fusion rules are determined by fuzzy reasoning of picking environmental features, and membership values of fusion types are calculated according to regional energy a...

Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...

The aim of this paper is to investigate the multiple attribute decision making problems with intuitionistic fuzzy information, in which the information about attribute weights is incompletely known, and the attribute values take the form of intuitionistic fuzzy numbers. In order to get the weight vector of the attribute, we establish an optimization model based on the basic ideal of traditional...

Abstract In the present paper we discussed the parameters optimization in medical decision making using maximum entropy weight. Currently, most medical decision models rely on point estimates for input parameters, although the uncertainty surrounding these values is well-recognized. However, it still left some challenge problems that are commonly involved in computational problems involving exp...

The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has generated a poorly organized environment that hinders the sharing and mining of useful data. The need for meaningful web-page classification techniques is therefore becoming an urgent issue. This paper describes a novel ap...