In this paper, two fuzzy algorithms for automatic decision making for antipersonnel landmine detection form sensors data. The first is a “feature in-decision out” fuzzy fusion algorithm for two sensors measurements, namely a ground penetrating radar (GPR) and a metal detector (MD). The inputs to the fuzzy fusion algorithm are features extracted from both GPR and MD measurements while the output...

An improvised technique is proposed in detecting and extracting color regions of an image using intuitionistic fuzzy set (IFS) theory. This will be very useful especially for remotely sensed images where different types of regions (agricultural, watery, or volcanic) are to be extracted. Comparing with non-fuzzy and fuzzy method, results of an extracted image were found better due to considerati...

We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-based representation of single statements. A domain analysis then assigns statements to topics. A number of fuzzy set operators, including fuzzy belief revision, are applied to model different belief strategies. At the end, our sy...

Since 1965 the fuzzy set theory and its application have deep development especially in many disciplines close to the automatic control of processes. A fuzzy model has been shown to be able to approximate the behaviour of many complex processes. Very robust fuzzy controller can be constructed in various ways. One of them, learning algorithm, is focused in this paper while the approximation idea...

Fuzzy inference systems are studied from the point of view of systems of fuzzy relation equations. A fundamental interpolation condition is considered to be a crucial point of study in choosing proper inference method as well as a proper interpretation of a fuzzy rule base. The paper aims at additive interpretations and investigates their utilization from a theoretical point of view while their...

AQnncf-Present fuzzy system visualisations while being useful, have been ad hoc in nature. I n this paper we present a new integrated task-oriented approach to the visualisation of fuzzy logic systems. In addition, this approach is incorporated into an agent-based software architecture to guide the user through the process of developing a fuzzy logic System visualisation. A case study then illu...

Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster. Fuzzy C means is a very important clustering technique based on fuzzy logic. Also we have some hard clustering techniques available like K-means among the popular ones. In this paper a comparative stud...

The situational factors associated with youthful driving while intoxicated (DWI) and riding with an impaired driver (RWID) are examined. Data were collected from separate samples of youth who had driven while impaired by alcohol and who had ridden with an alcohol-impaired driver. The purpose of the study was to determine whether there are consistent situational factors associated with DWI and R...

OBJECTIVE To determine the proportion of first time driving while alcohol impaired (DWI) offenders who drive while their driver's license is suspended. DESIGN Systematic, unobtrusive observations were conducted by surveillance professionals from Pinkerton Investigative Services, Inc, of first time offenders in the City of Milwaukee, Wisconsin, and Bergen County, New Jersey. Observations inclu...