In this paper a novel method for designing hierarchical fuzzy logic Systems are investigated. A new method using genetic algorithms for design of hierarchical fuzzy logic systems are proposed. The proposed method is then applied to financial modelling and prediction. A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The new method proposed determin...

The County of Khorram-Abad enjoys a high potential for ecotourism because of its mountains, forests, natural mineral springs, natural waterfalls and diversity in folks and cultures. But, un-planned and uncontrolled ecotourism can have negative effects on environment, economy, culture and even the security of eco-tourists. The main purpose of this study is to present a fuzzy multi-criteria decis...

The supplier selection exercise is a critical factor towards the success of a company. This paper compares four different methods to support decision makers in selecting the most appropriate supplier. When using Fuzzy logic, the importance of each criterion gets influenced by the level of decomposition in the hierarchical model. Fuzzy logic does not have the capability to measure the level of c...

Strategic Planning of Agricultural Entrepreneurship Development in Kerman Province (Application Fuzzy Hierarchical Analysis and SWOT)

This paper discusses a fuzzy logic control system designed to determine, regulate and maintain the amount of suction needed by a robotic gripper system to perform reliable limp material manipulation. A neuro-fuzzy approach is followed to determine the amount of desired suction (depending on experimentally derived data and plant characteristics). A knowledge-based valve controller is then design...

This chapter tries to answer the fundamental question of what main contributions of fuzzy clustering to the theory of cluster analysis from theoretical viewpoints. While fuzzy clustering is thought to be clearly useful by users of this technique, others think that the concept of fuzziness is not needed in clustering. Thus the usefulness of fuzzy clustering is not trivial. The discussion here is...

As the result of the development of Fuzzy Multiple Criteria Decision Making (FMCDM) with the help of fuzzy set theory a number of innovations have been made possible. The new approach of FMCDM – Fuzzy Hierarchical Modeling is introduced. It is shown in the article, how to use the fuzzy hierarchical model with other methods of FMCDM. Advantages of the method are described also. We propose a nove...