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...

A lot of tools have been developed to personalize content on the web. And filtering techniques like content based and context filters get the proper information to users. Information captured in user profiles have certain degree of imprecision and uncertainty. Fuzzy logic provides a means to overcome this short coming. This paper proposes a means to use Fuzzy Linguistic variables in user profil...

In this paper, we present a thorough integration of qualitative representations and reasoning for positional information for domestic service robotics domains into our high-level robot control. In domestic settings for service robots like in the RoboCup@Home competitions, complex tasks such as “get the cup from the kitchen and bring it to the living room” or “find me this and that object in the...

As global aging advances, the number of centenarians worldwide is greatly increasing. Most what known about comes Global North. It not clear factors contribute to longevity in impoverished, mostly rural areas South nations that still lack basic amenities. Cultural differences profile, lifestyles, and needs Africa have yet be documented. Using a case study design, this descriptive inquiry invest...

This paper presents a methodology for integrating common-sense and qualitative simulation of physical systems by the use of Fuzzy Sets . This allows a semi-quantitative extension to qualitative simulation that provides three significant advantages over existing techniques . Firstly, it allows a more detailed description of physical variables, through an arbitrary, but finite, discretisation of ...

Qualitative modeling of technical processes may be accomplished by dynamic fuzzy systems. A new inference method with interpolating rules is proposed as an essential basis for the analysis of this class of systems. Using this approach, the system output is dependent on both an interpolating rule derived from the fuzzy input and the fuzzy input itself. A simple example shows the typical behavior...

Capturing the characteristics and preferences of Web users into user profiles is a fundamental task to perform in order to implement forms of personalization on a Web site. In this paper, we present a relational fuzzy clustering approach to extract significant user profiles from session data derived from log files. In particular, a modified version of the CARD clustering algorithm is proposed i...

Fuzzy Image Regions were proposed recently as an alternative GEOBIA method for conducting qualitative land cover classification. In this paper, these fuzzy segments are applied for estimation of quantitative (i.e. compositional) land cover. The method comprises three main stages: (i) fuzzy segmentation to create segments with indeterminate boundaries and uncertain thematic allocation; (ii) feat...

This paper presents a novel approach to nonlinear black-box system identification which combines Qualitative Reasoning (QR) methods with fuzzy logic systems. Such a method aims at building a good initialization of a fuzzy identifier, so that it will converge to the inputoutput relation which captures the nonlinear dynamics of the system. Fuzzy inference procedures should be initialized with a r...

We demonstrate the use of qualitative models in the DHP method of training neurocontrollers. Two Fuzzy approaches to developing qualitative models are explored: a priori application of problem specific knowledge, and estimation of a first order TSK Fuzzy model. These approaches are demonstrated respectively on the cart-pole system and a non-linear multiple-inputmultiple-output plant proposed by...