Automatic control systems with sophisticated control algorithm can be very large and complex. In order to improve the automatic process control, it is important to develop fault diagnosis strategy. A hierarchical scheme of fault detection and isolation based on Decision Support System (DSS) is presented. For fault diagnosis, a knowledge based procedure is required. In addition to analytic sympt...

Decision making can present a considerable amount of complexity in competitive environments; where methods that support possess great relevance. The article presents an extension the Hierarchic Analytical Process; complemented with Personal Construct Theory, which purpose is to reduce ambiguity when defining and establishing values for criteria determined problem. In recent years, scope decisio...

This paper proposes a new method for finding fuzzy weights in the fuzzy analytic hierarchy process (FAHP), which fuzzifies the derived formulation of an eigenvector directly. The presented formulation only needs information about the upper triangular matrix and the assumption about the reciprocal matrix is not necessary. This characteristic makes the FAHP feasible because the property of recipr...

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...

This study is intended to improve the lack of recruitment processes as well as reduce individual senses of supervisory level by fuzzy logic and Analytic Hierarchy Process methods. This study tries to identify appropriate personality traits and key professional skills through the information statistics and analysis of Analytic Hierarchy Process in order to expect the recruitment process be more ...