Static Synchronous Series Compensator (SSSC) is a series compensating Flexible AC Transmission System (FACTS) controller for maintaining to the power flow control on a transmission line by injecting a voltage in quadrature with the line current and in series mode with the line. In this work, an Adaptive Network-based Fuzzy Inference System controller (ANFISC) has been proposed for controlling o...

This paper proposes a fuzzy abductive inference to realize a creative thinking support system. The fuzzy logic is applied to Peng and Reggia's abductive inference for handling degrees of manifestations. Application of the new method to a diagnostic problem is shown and the e ectiveness of the proposed method is demonstrated by comparing the inferred results with those by the conventional fuzzy ...

Wave height as well as water depth at the breaking point are two basic parameters which are necessary for studying coastal processes. In this study, the application of soft computing-based methods such as artificial neural network (ANN), fuzzy inference system (FIS), adaptive neuro fuzzy inference system (ANFIS) and semi-empirical models for prediction of these parameters are investigated. Th...

organizational performance is a complex issue given that performance is a multifaceted phenomenon whose components may have distinct managerial priorities and may even be mutually inconsistent. recently, the balanced scorecard approach (bsc), as an effective multi-criteria evaluation concept received much attention in organizational performance measurement. although the bsc conceptual framework...

A wide variety of knowledge acquisition methods exist for conventional knowledge types such as production rule, semantic knowledge, etc. However, need for causal knowledge acquisition has not been stressed in the expert systems fields. The objectives of this paper are to (1) suggest a causal knowledge acquisition process and (2) investigate the causal knowledge-based inference process. FCM (Fuz...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...