Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a ...

One of the ways of attaining higher productivity and profitability in machining processes is to enhance process supervision and control systems. Because of the nonlinear behavior and complexity of machining processes, researchers have used knowledge-based techniques to improve the performance of such systems. Their main reason for using this approach is that a suitable process model is indispen...

In this paper we formally define the problem of automatic detection of thematic categories in a semantically indexed document, and identify the main obstacles to overcome in this process. Furthermore, we explain how detection of thematic categories can be achieved, with the use of a fuzzy quasi-taxonomic relation. Our approach relies on a fuzzy hierarchical clustering algorithm; this algorithm ...

A new reinforcement learning system using fuzzy ART (adaptive resonance theory) is proposed. In the proposed method, fuzzy ART is used to classify observed information and to construct effective state space. Then, profit sharing is employed as a reinforcement learning method. Furthermore, the proposed system is extended to the hierarchical structures for solving partially observable Markov deci...

for the proper use of water resources in agriculture, it is necessary to provide appropriate irrigation system to supply crop water requirement. in the present research, using a hierarchical analysis, different types of irrigation systems were evaluated and prioritized on 1150 hectares of agricultural land of etka organization ​​ located in dorud, iran. hierarchical analysis process is one of t...

This study focuses on building a framework which calculates the weights of FAHP (Fuzzy Analytical Hierarchical Process) method , then integrates the analysis tools such as FQFD (Fuzzy Quality Function Development) and FFMEA (Fuzzy Failure Mode and Effects Analysis) into the framework to construct a two-phase product specifications evaluation process. Therefore, this study builds a framework and...

PURPOSE In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-wide [J. K. Udupa et al., "Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images," Med. Image Anal. 18(5),...

The development of a novel soft computing approach to model the supervisor of manufacturing systems is described, it is named Fuzzy Cognitive Maps (FCMs) and it is used to model the behaviour of complex systems. Fuzzy cognitive maps combine characteristics of both fuzzy logic and neural networks. The description and the construction of fuzzy cognitive maps are examined, a new methodology for de...

This paper presents a new hierarchical tree approach to clustering fuzzy data, namely extensional tree (ET) clustering algorithm. It defines a dendrogram over fuzzy data and using a new distance between fuzzy numbers based on -cuts. The present work is based on hierarchical clustering algorithm unlike existing methods which improve FCM to support fuzzy data. The Proposed ET clustering algorithm...