Load balancing in distributed computer systems is the process of redistributing the work load among processors in the system to improve system performance. Most of previous research in using fuzzy logic for the purpose of load balancing has only concentrated in utilizing fuzzy logic concepts in describing processors load and tasks execution length. The responsibility of the fuzzy-based load bal...

Minimization of energy consumption is one of the most important research areas in Wireless Sensor Networks. Nowadays, the paradigms of computational intelligence (CI) are widely used in WSN, such as localization, clustering, energy aware routing, task scheduling, security, etc. Though many fuzzy based clustering techniques have been proposed earlier, many of them could not increase the total ne...

A study on fuzzy relational visualization in system development aspects is presented. The front-end enables dynamic and scalable changes in visualization according to user’s expertise and inspiration. Integrative management of various data and knowledge is handled by the back-end at any scale in cloud computing environment. Extended Logic Programming is used as the core of fuzzy relational mana...

Identification of recorded information is the most important requirement for developing an effective traceability system. This paper aimed to develop technology (IT)-based system combined with intelligent in potato chips agro-industry. In this paper, we present a business process agro-industry which consists three activities, i.e. raw materials receiving, processing, and warehousing final produ...

In this paper some algebraic structures for linguistic fuzzy models are defined for the first time. By definition linguistic fuzzy norm, stability of these systems can be considered. Two methods (normed-based & graphical-based) for stability analysis of linguist fuzzy systems will be presented. At the follow a new simple method for linguistic fuzzy numbers calculations is defined. At the end tw...

Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (MM) has recently led to the development of new fuzzy morphological associative memories (FMAMs), in particular implicative fuzzy associative memories (IFAMs). As the name FMAM indicates, these models belong to the class...

As a kind of typical embedded system, MANET is a multi-hop self-configuring network with the topology changes dynamically. To model of the security, mobility, and dynamic changes of MANET, trust is used as a novel concept recently. In this paper, based on the classic fuzzy theory, the trust evaluation and the dynamic routing protocols for MANET are represented, to give the modeling of MANET wit...

in this study, an outsourcer evaluation and management system is developed for a manufacturing company by use of fuzzy goal programming (fgp). a first phase of the methodology evaluation criteria for outsources and the objectives of the company are determined. considering the fuzziness in the decision data, linguistic variables that can be expressed in generalized fuzzy number are used. the pro...

In this article we propose one networked control strategy for linear SISO systems affected by variant communication delays. This control strategy is adjusting optimal controller’s control by using two Fuzzy Logic Controllers (FLCs). The FLCs are used to compensate the bad influences over the closed loop system performances of the communication delays between the controller node and the actuatio...

Mobile Ad Hoc Networks (MANET) can be considered as a class of unstructured networks created by a number of autonomous wireless and sensor nodes. The inherent characteristics of such networks have made specific applications, such as multimedia transfer and challenging. Basically, the functionality of a node and very few resources directly affect the delivery of packets which depends on the ...