This paper proposes a direct adaptive fuzzy-model-based control algorithm. The controller is based on an inverse semi-linguistic fuzzy process model, identified and adapted via inputmatching technique. For the adaptation of the fuzzy model a general learning rule has been developed employing gradient-descent algorithm. The on-line learning ability of the fuzzy model allows the controller to be ...

In renewal processes, fuzziness and randomness often coexist intrinsically. Based on the random fuzzy theory, a delayed renewal process with random fuzzy interarrival times is proposed in this paper. Relations between the renewal number and interarrival times in such a process are investigated, and useful theorems such as the elementary renewal theorem, Blackwell renewal theorem and Smith key r...

the goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project x is a good investment”. this process has to enable the decision maker to compare several alternative invest...

quality function development (qfd) is a planning tools used to fulfill customer expectation and qfd is a systematic process to translating customer requirement (whats) into technical description (hows). qfd aims to maximize customer satisfactions related to enterprise satisfaction. the inherent fuzziness of relationships in qfd modeling justifies the use of fuzzy regression for estimating the r...

at early stages of new product development, the effort tooptimize is low and effects on the whole innovation process are high.therefore, a deeper understanding of fuzzy front end and its successcan help firms to be more successful in developing new products. wepresented and tested a conceptual model of relationships among keyvariable sre lated to the fuzzy front end,execution phase of new produ...

chaotic systems are nonlinear dynamic systems, the main feature of which is high sensitivity to initial conditions. to initiate a design process in fuzzy model, chaotic systems must first be represented by t-s fuzzy models. in this paper, a new fuzzy modeling method based on sector nonlinearity approach has been recommended for chaotic systems relating to initial condition variations using the ...

here, we propose a fuzzy analytic hierarchy process (fahp) method to evaluate the alternatives of enterprise resource planning (erp) system. the fuzzy ahp approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for erp system selection problem. therefore, fuzzy ahp method is used to obtain firm decis...

using the effective management tools that are relevant tothe organization’s needs for excellence has become so important for thecompanies to improve their performances and then increase customersatisfaction and gain market shares. quality function deployment is anefficient and powerful tool in design, development, and planning of products.the main function of quality function deployment is conv...

A closed loop control system incorporating Fuzzy logic controller has been developed for a temperature regulation process. A unique Fuzzy logic controller structure with an efficient realization and a small rule base that can be easily implemented in temperature control process. MATLAB simulations are carried out and responses are obtained for PID and Fuzzy Logic Controller.

This paper presents an area-based approach to ranking fuzzy numbers in fuzzy decision making. To ensure that all the information that a fuzzy number has is adequately considered, the concepts of the absolute area and the degree of deviation of a fuzzy number are integrated into the process of comparing and ranking fuzzy numbers. To help the decision maker better address the risk inherent in the...