In this paper, a systematic data-driven fuzzy modelling methodology is proposed, which allows to construct Mamdani fuzzy models considering both accuracy (precision) and transparency (interpretability) of fuzzy systems. The new methodology employs a fast hierarchical clustering algorithm to generate an initial fuzzy model efficiently; a training data selection mechanism is developed to identify...

1 Dept. of Marketing, Robinson College of Business 2 Dept. of Computer Science, College of Arts and Sciences Abstract Smart Advisor and Search Optimizer are two intelligent Web agents helping users search Web information efficiently and make good decisions effectively. They are related to each other because Smart Advisor uses Search Optimizer as one component. Search Optimizer is a match maker ...

A new kind of mapping rule base scheme is proposed to get the fuzzy rules of hierarchical fuzzy systems. The algorithm of this scheme is developed such that one can easily design the involved fuzzy rules in the middle layers of the hierarchical structure. In contrast with the conventional single layer fuzzy controller, the present method has approximate performance using the same scaling factor...

We show that prediction of travel time on a 28-km long highway section based on on-line travel time measurements with video is practicable by data mining and neuro-fuzzy methods. We introduce two new prediction models. The first one is a result of GUHA style data mining analysis and Total Fuzzy Similarity method, and the second one is a hierarchical model based on neuro-fuzzy modelling. Compari...

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...

This paper presents an automatic error tolerance specification system to control the performance of hierarchical volume rendering. Rather than requiring the user to provide an explicit error tolerance numerically, we let the user to specify only the target rendering speed. Our system can then calculate an appropriate error tolerance adaptively to satisfy the user’s performance goal. The system ...

OBJECTIVE The aim of this paper is to present a novel fuzzy classification framework for the automatic extraction of fuzzy rules from labeled numerical data, for the development of efficient medical diagnosis systems. METHODS AND MATERIALS The proposed methodology focuses on the accuracy and interpretability of the generated knowledge that is produced by an iterative, flexible and meaningful ...

this paper has revised the combined model of chan & qi with supply chain operations reference (scor) .this combined model with hierarchical structure, has three levels and seven criteria that some criteria are quantitative (cost, use of source) and others of them are qualitative (quality, flexibility, tangible, validity and innovation). in order to improvement of this model, this paper has comb...