the science parks have important role in development of technology and are able to make economic growth of the countries. the purpose of this paper is the presentation of a fuzzy expert system (fis) as intelligent systems to evaluate the science and technology parks. one of the problems for evaluating science and technology parks is to have the high number of criteria and science parks which ah...

fuzzy logic has a high potential for managing the uncertainty sources associated with the medical expert systems. application of fuzzy inference model has been widely concentrated for managing uncertainties in computer based practices of medicine. this paper has proposed two fuzzy expert systems for prognosis of the heart disease based on: 1) mamdani inference model, and 2) sugeno inference mod...

Fuzzy logic (FL) has emerged as an important branch of Expert system which has proved to provide solution to real life problems that had remained unsolvable otherwise. It has found wide range of applications in diversified areas. In this paper, we study how the methods of fuzzy logic have been effectively used to solve a myriad of problems in the field of agricultural sciences. This paper revie...

| Fuzzy logic and fuzzy set theory provide an important framework for representing and managing impre-cision and uncertainty in medical expert systems, but the need remains to optimise such systems to enhance performance. This paper presents a general technique for optimizing fuzzy models in fuzzy expert systems by simulated annealing and N-dimensional hill climbing simplex method. The applicat...

expert systems are computer programs that make the knowledge of experts available when a human expert is not with in easy reach. the systems are to simulate the thinking and inference pattern of human being. the ultimate goal of expert system is to be analogous to human as much as possible. utilizing the intelligent system in commerce is indispensable for establishing a better connection with c...