risk management is one of the most important phases of project management and isthe most recently used by many researchers. in this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy fmea a...

introduction: human resource plays a very important role in the success or failure of a company. the weakness in conclusion of criteria of model efqm (employee's criteria and results) using fahp method (fuzzy analytical hierarchy process) will be discussed here as iranian organizations are usually weak in their results field. method: the present study is an applied research. procedure of doing ...

the aim of this study is to evaluate the obstacles due to a dpsir model combined with fuzzy analytic hierarchy process technique. hence, to prioritize the responses regarding the driving forces, pressures, states and impacts, the hierarchy of the model is established. evaluations and prioritization of model results of urban transport situation in tehran have provided a number of necessary issue...

Financial problems have been the subject of much research. A widely used approach in recent work on these problems is the use of fuzzy set theory, where fuzzy terms are used to model the uncertain environments. The purpose of this work is to combine the fuzzy analytic hierarchy process (AHP) with the portfolio selection problem. More specifically, the decision-making problem is to decide which ...

in this paper, we introduce a takagi-sugeno (ts) fuzzy model which is derived from a typical multi-layer perceptron neural network (mlp nn). at first, it is shown that the considered mlp nn can be interpreted as a variety of ts fuzzy model. it is discussed that the utilized membership function (mf) in such ts fuzzy model, despite its flexible structure, has some major restrictions. after modify...

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...