Spatial Cognition is an interdisciplinary research area that among other things serves as a testbed for numerous approaches to knowledge representation and for results from artificial intelligence, cognitive psychology, soft computing, geography, biological cybernetics, and robotics. Spatial and temporal granularity are of particular relevance in spatial cognition for at least two different rea...

This paper describes the design and implementation of an authentication system developed for preventing password sharing using fuzzy techniques applied to biometrical data. The c-Means clustering algorithm is implemented to create personal per-keyboard profiles based on the typing patterns of users. These profiles are accessed at logon time to further validate the identity of the user by compar...

Reverse engineering of gene regulatory networks (GRNs) is the process of estimating genetic interactions of a cellular system from gene expression data. In this paper, we propose a novel hybrid systematic algorithm based on neurofuzzy network for reconstructing GRNs from observational gene expression data when only a medium-small number of measurements are available. The approach uses fuzzy log...

Congestion is the problem that occurs due to saturation of network resources. Despite the implementation of traditional congestion control algorithms such as Transmission Control Protocol (TCP/IP), congestion remains a critical issue in computer and ATM networks. Fuzzy Logic is applied to solve the congestion control problem as communication networks are difficult to model using traditional con...

A qualitative location (QL) refers to the reference of a spatial location using linguistic terms such as qualitative descriptions and qualitative spatial relations with other geo-referenced features. Qualitative locations will be increasingly more popular in the future, driven by theoretical, technological, and database developments. Multiplicity and uncertainty are two innate characteristics o...

This paper presents an applicable health monitoring method for Li-ion batteries based on profust reliability theory. The word “profust” derives from “probability” and “fuzzy-state”, which means that the profust reliability theory is a kind of fuzzy reliability theory based on probability assumption and fuzzy-state assumption. It defines a concept of transition from fuzzy success to fuzzy failur...

-The multi-criteria decision making (MCDM)problems with fuzzy preference information on alternatives are essential problems of the importance of weighting and ranking. In order to solve this problem, Analytical Hierarchy Process(AHP) and fuzzy comprehensive evaluation method are coupled to form a new approach named Fuzzy-AHP.This method is different from the traditional FAHP,which used to facil...

Traditional safety and health system measurement procedures, practiced in various industries produce qualitative results with a degree of uncertainty. This paper presents a fuzzy-logic-based approach to developing a fuzzy model for assessing the safety and health status in the tea industry. For this, the overall safety and health status at a tea estate has been considered as a function of 4 inp...