Intelligent energy management has become one of the major research fields in electrical engineering. It constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Hybrid neuro-fuzzy paradigms have recen...

New mobile devices and mobile Internet applications are transforming the traditional concept of computing and user’s experience. Peer to peer (P2P) mobile systems are autonomous and decentralized systems. Each peer in the network is heterogeneous and is not fully reliable. In this paper it has been tried to estimate the creditability of each peer in the network using Mamdani Fuzzy Inference Sys...

a neuro-fuzzy modeling tool (anfis) has been used to dynamically model cross flow ultrafiltration of milk. it aims to predict permeate flux and total hydraulic resistance as a function of transmembrane pressure, ph, temperature, fat, molecular weight cut off, and processing time. dynamic modeling of ultrafiltration performance of colloidal systems (such as milk) is very important for designing ...

In this paper, we present our work in the field of computational intelligence and discrete event systems. Knowledge representation and the inclusion of imperfect knowledge is a key step in an effort to optimally incorporate artificial intelligence methods in a modeling and simulation framework. Fuzzy Inference Systems (FIS) are one of the most used applications of Fuzzy Logic and Fuzzy Sets The...

In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy inference system (FIS). In SAFIS, the concept of “Influence” of a fuzzy rule is introduced and using this the fuzzy rules are added or removed based on the input data received so far. If the input data do not warrant adding...

Black-Hole and Gray-Hole attack considers two of the most affected kind of attacks on the Mobile Ad-Hoc Network (MANET). Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, a proposed optimized fuzzy based intrusion detection system is presented with an automation process of producing a fuzzy system by using an Adaptive Neuro-Fuz...

The term approximate reasoning (AR) refers to methods and methodologies that enable reasoning with imprecise inputs to obtain meaningful outputs. AR schemes involving fuzzy sets are one of the best known applications of fuzzy logic in the wider sense. Fuzzy Inference Systems (FIS) have many degrees of freedom, viz., the underlying fuzzy partition of the input and output spaces, the fuzzy logic ...

Fair results give motivation and encouragement to the students. So reforms in education are must not only in curriculum development but also in students' performance assessment. Proposed method is useful when questions in the examination are of subjective or objective type and total time duration is given to attempt all questions rather than individual question. This method considers impor...

An adaptive watermarking algorithm is presented which exploits a biorthogonal wavelets-based human visual system (HVS) and a Fuzzy Inference System (FIS) to protect the copyright of images in learning object repositories. Specifically, the HVS relies on the linear-phase property of biorthogonal wavelet filters (symmetric wavelets) in order to efficiently extract the masking information, while t...

suitable soil structure is important for crop growth. one of the main characteristics of soil structure is the size of soil aggregates. there are several ways of showing the stability of soil aggregates, among which the determination of the median weight diameter of soil aggregates is the most common method. in this paper, a method based on adaptive neuro fuzzy inference system (anfis) was used...