Because of the specialty of the undersea channel and the complexity of imaging environment, serious impact on image segmentation and target identification is caused by several uncertain factors in undersea image. This paper proposes a fuzzy pattern recognition approach for undersea image based on fractal features, and realizes reliable target classification in undersea image. Experiments prove ...

Adequate coverage is one of the main problems for distributed wireless sensor networks and The effectiveness of that highly depends on the sensor deployment scheme. Given a finite number of sensors, optimizing the sensor deployment will provide sufficient sensor coverage and save power of sensors for movement to target location to adequate coverage. In this paper, we apply fuzzy logic system to...

Adequate coverage is one of the main problems for distributed wireless sensor networks and The effectiveness of that highly depends on the sensor deployment scheme. Given a finite number of sensors, optimizing the sensor deployment will provide sufficient sensor coverage and save power of sensors for movement to target location to adequate coverage. In this paper, we apply fuzzy logic system to...

In this paper, we propose an interacting multiple model (IMM) method using intelligent tracking filter with fuzzy gain to reduce tracking error for maneuvering target. In the proposed filter, the unknown acceleration input for each sub-model is determined by mismatches between the modelled target dynamics and the actual target dynamics. After an acceleration input is detected, the state estimat...

An optimal fusion algorithm for tracking maneuvering target based on centralized structure of multisensor is proposed. This algorithm is implemented with two filters and fuzzy logic using state fusion, together with the current statistic model and adaptive filtering. Firstly, the optimal weighting coefficients are obtained using the stochastic approximation theory, a suitable method of estimati...

This paper considers two-level integer programming problems involving random fuzzy variables with cooperative behavior of the decision makers. Considering the probabilities that the decision makers’ objective function values are smaller than or equal to target variables, fuzzy goals of the decision makers are introduced. Using the fractile criteria to optimize the target variables under the con...

An important problem in designing autonomous control systems such as auto pilot and wheeled vehicles controller is that they are too complex computationally which make their implementation impossible through traditional approaches. The fuzzy logic and new computation techniques are simple approaches to design the complicated control system and address some of the difficulties posed by autonomou...

Technical terms and proper names constitute a major problem in dictionary-based crosslanguage information retrieval (CLIR). However, technical terms and proper names in different languages often share the same Latin or Greek origin, being thus spelling variants of each other. In this paper we present a novel two-step fuzzy translation technique for cross-lingual spelling variants. In the first ...

Scoring models yield continuous predictions instead of sharp classifications. Scoring customers for profitability, loyalty, or product affinity corresponds to an inductive fuzzy classification: The model represents a continuous membership function mapping the set of customers into the fuzzy set of interesting customers – the fuzzy target group. This chapter presents a method for membership func...

This paper implements a Neuro-Fuzzy (FNN) approach to autonomously navigate a car-like robot in an unknown environment. The applied technique allows the robot to avoid obstacles and locally search for a path leading to the goal after learning and adaptation. It is based on two Fuzzy Artmap neural networks, a Reinforcement trial and error neural network and a Mamdani fuzzy logic controller (FLC)...