During the last twenty years, fuzzy logic has been successfully applied to many modeling and control problems. One of the reasons of success is that fuzzy logic provides human-friendly and understandable knowledge representation that can be utilized in expert knowledge extraction and implementation. It is observed, however, that transparency, which is vital for undistorted information transfer,...

This article takes the development of agricultural products as research object, through analysis and induction factors affecting products, applying analytic hierarchy process fuzzy comprehensive evaluation method, taking potato Ding xi Lanzhou examples, collecting relevant data, verifying comparative analysis. The scientificity rationality system are verified analysis.. provides reference for s...

revision): Sep 9, 2012 In order to gather information more efficiently, wireless sensor networks (WSNs) are partitioned into clusters. Most proposed clustering algorithms do not consider the location of the base station. This situation causes hot spot problems in multi-hop WSNs. In this paper, we analyze a fuzzy clustering algorithm (FCA) which aims to prolong the lifetime of WSNs. This algorit...

In this paper we face the problem of the automatic selection of relevant levels in a hierarchy of fuzzy segmentations. Today there is a wide variety of techniques (multiscale or hierarchical) to analyze an image with several levels of detail, but they don’t consider that not all the segmentations resulting from this process are interesting for the user. Here we propose a technique based in meas...

| Realization of autonomous behavior in mobile robots, using fuzzy logic control, requires formulation of rules which are collectively responsible for necessary levels of intelligence. This collection of rules can be conveniently decomposed and eeciently implemented as a hierarchy of fuzzy-behaviors. This paper describes how this can be done using a behavior-based architecture. The approach is ...

Financial problems have been the subject of much research. A widely used approach in recent work on these problems is the use of fuzzy set theory, where fuzzy terms are used to model the uncertain environments. The purpose of this work is to combine the fuzzy analytic hierarchy process (AHP) with the portfolio selection problem. More specifically, the decision-making problem is to decide which ...

Realization of autonomous behavior in mobile robots, using fuzzy logic control, requires formulation of rules which are collectively responsible for necessary levels of intelligence. This collection of rules can be conveniently decomposed and eeciently implemented as a hierarchy of fuzzy-behaviors. This paper describes how this can be done using a behavior-based architecture. The approach is mo...