The use of hierarchical taxonomies to organise information (or sets of objects) is essential to the semantic web and is also fundamental to many aspects of web 2.0. In most cases, the seemingly crisp granulation of a taxonomy disguises the fact that categories are based on loosely defined concepts which are better modelled by allowing graded membership. Fuzzy categories may also arise when inte...

An M&A due diligence is the process in which one of the parties to the transaction undertakes to investigate the other in order to judge whether to go forward with the transaction on the terms proposed. It encompasses the missions in three phases: searching and preliminary screening potential candidates, evaluating the candidates and deciding the target, and assisting the after-transaction inte...

In recent years there has been a growing interest in the combination of rules and ontologies. Notably, many works have focused on the theoretical aspects of such integration, sometimes leading to concrete solutions. However, solutions proposed so far typically reason upon crisp concepts, while concrete domains require also fuzzy expressiveness. In this work we combine mature technologies, namel...

The economic life of large investments is long and thus necessitates constant dynamic managerial actions. To be able to act in an optimal way in the dynamic management of large investments managers need the support of advanced analytical tools. They need to have constant access to information about the real time situation of the investment, as well as, access to up-to-date information about cha...

Soft computing can be used to build hybrid intelligent systems for achieving different goals in real-world applications. Soft Computing techniques include, at the moment, fuzzy logic, neural networks, genetic algorithms, chaos theory methods, and similar techniques that have been proposed in recent years. Each of these techniques has advantages and disadvantages, and several real-world problems...

I n this paper we describe and test how information from multiple sources can be combined into a robust visual seruoing system. The main objective is integration of visual cues to provide smooth pursuit in a cluttered environment using a minimum or no calibration. For that purpose, voting schema and fuzzy logic command fusion are investigated. It is shown that the integration permits detection ...

Logical Management use fuzzy integrated management models developed using knowledge engineering and a new multivalued logic system called Compensatory Logic to contribute for Strategic Integration of organizations. To explain basics and fundamental ideas of Logical Management, and to explain the architecture of a projected system called LMS and how it can be joined with an ERP System to guarant...

This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells. The performance of our classifier is tested against a feed-forward neural network and a Support Vector Machine. Results show the good perfor...

As a contribution to a better understanding of the integration of different data sets into knowledge-based classification processes the presented study compares different data-fusion techniques which combine spectral and textural information of a QuickBird scene with ancillary data layers and a knowledge base for the identification of forest structures and habitats. The approach compares a fuzz...

In vector model, the boundary between features is stored and shown categorically in an absolute way, in other words Membership or non-membership of a point in each polygon is known which can be 0 or 1. For showing real world and its projection on map, because of the uncertainty on the border of the boundary between phenomena and spatial data, there is some uncertainty and vagueness in drawing a...