considering the contemporary business settings, managers’ role is more than essential to the viability and further development of an organization. managers should possess such skills in order to effectively cope with the competition. multiple attributes decision making (madm) is an approach employed to solve problems involving selection from among a finite number of alternatives. the aim of thi...

quantitative assessment is the most important means to identify hazard potential and manage risk for an industrial process. the implement of quantitative assessment in the early stage will help to develop inherently safer process, eliminating the hazard and reduce the possibility of accidental chain events and the magnitude of consequences. in this paper, after reviewing the presently available...

this study recommends a gis-based (geographic information systems) and multi-criteria evaluation for site selection of gas power plant in natanz city of iran. the multi-criteria decision framework integrates legal requirements and physical constraints related to environmental and economic concerns. it also builds a hierarchy model for gas power plant suitability. the methodologies used for site...

The purpose of this paper is to present a genetic learning process for learning fuzzy control roles from examples. It is developed in three stages: the first one is a fuzzy rule genetic generating process based on a rule learning iterative approach, the second one combines two kinds of rules, experts rules if there are and the previously generated fuzzy control rules, removing the redundant fuz...

This paper presents a general stock model for fuzzy markets based on a class of fuzzy process, that is, geometric Liu process. Firstly, a brief history of stock models and some methodologies used in stochastic stock models have been reviewed. Next, some useful concepts and properties about fuzzy process are presented. Then, a general stock model for fuzzy markets is formulated by way of fuzzy d...

The purpose of this paper is to present a genetic learning process for learning fuzzy control rules from examples. It is developed in three stages: the rst one is a fuzzy rule genetic generating process based on a rule learning iterative approach, the second one combines two kinds of rules, experts rules if there are and the previously generated fuzzy control rules, removing the redundant fuzzy...

In this paper, for nonlinear, time-varying and delayed system, PID parameters self-tuning fuzzy control was applied to a level process. The method of using VC++ programming to realize fuzzy control algorithm and obtain the discrete fuzzy control table is proposed, which simplified the computing process greatly. Furthermore, combing the inquiry of fuzzy control table and PID function module in P...

need to progress is the factors contributing to development and trying to meet these requirements cause which organization will lead to the development. organizations performance evaluating, is one of the most powerful management tools that we can by that, obtained required information of organization status .in this study, a performance evaluation model based on balanced scorecard (bsc), which...

these days, limited energy resources, and also the cost of investment in new and renewable energy is very costly and uneconomical. in the industrial sector, especially energy-intensive industries such as steel, finding appropriate solutions to update the technology, production and reduce energy consumption in this sector is very important. the main aim of this study is the identification and ra...