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The following topics were dealt with: intelligent system modeling; evolutionary algorithms; fuzzy control; information system modeling; image processing; uncertainty modeling; fuzzy set theory; rough sets; granular computing; perception based data mining; intelligent decision making; medical informatics; robotics; pattern recognition; fuzzy logic; fuzzy reasoning; and neurofuzzy hybrid modeling
The pricing of property/casualty insurance for widespread, catastrophic events (windstorms, flood, terrorism) is an effort fraught with uncertainty. Critical is the issue of how high premiums should be to prevent insured losses from exceeding the insurers capacity to pay claims. Known as the ruin problem, it is usually addressed in terms of exact thresholds based on precise probabilities of loss....
The validation and verification (V&V) of hybrid fuzzyneuro (HFN) or hybrid neurofuzzy (HNF) systems becomes of increasing concern as these systems are fielded and embedded in the every day operations of medical diagnosis, pattern recognition, fuzzy control and other industries particularly so when life-critical and environment-critical aspects are involved. We provide in this paper a V&V perspective...
This paper is devoted to two extensions of the inclusion operator. The general idea advocated here is the tolerance for exceptions, thus defining an approximate inclusion. A first line for allowing for exceptions is quantitative and it is based on the weakening of the universal quantifier present in the logical view of the inclusion between regular or fuzzy sets. Another strategy is more qualitative...
In this paper, we examine the algebra formed by the subsets of the unit interval with operations induced by the order on the unit interval. This algebra can be obtained as a subalgebra of the truth value algebra of type-2 fuzzy sets
In this paper we propose a neuro-fuzzy (NF) control strategy to enhance desired suspension performance. The proposed method consists of two parts: a fuzzy control strategy to establish an efficient controller to improve ride comfort and road handling (RCH) and an inverse mapping model to estimate the current needed for a semi-active damper. The fuzzy logic rules are extracted based on Skyhook and...
This research aims to control methane and carbon dioxide by a new intelligent approach in landfills. This intelligent approach entails a new configuration of the gas collection system, new permeable hydrophobic polymer medium for gas collection, and an intelligent fuzzy system for modeling and controlling gas transport in the system. The new configuration of the gas collection system consisted of...
Pulp and paper quality depends on the quality of wood chips which depends on their physical and optical properties. Presently, there is no formally established knowledge concerning the co-influences of the several parameters governing the thermo-mechanical pulp and paper process (TMP). The main goal of this paper is to automatically generate fuzzy knowledge bases (FKBs) to characterize wood chip properties...
One of the problems surrounding fuzzy knowledge base generation using genetic algorithms is finding an optimal number of fuzzy sets for each premise. A genetic algorithm developed by the authors for the automatic generation of fuzzy knowledge bases uses a multi-objective method combining error minimization and simplification. This paper proposes solutions based on cluster analysis and validation indices...
Kinematics is the study of motion without regard to the forces that create it. Generally, kinematics for robot manipulators includes two problems, forward kinematics problem and inverse kinematics problem. Because of the complexity of inverse kinematics, it is difficult to find the solutions for it. This paper applies a self-configuration fuzzy system to finding the solutions for inverse kinematics...
We study the properties of rough sets based on all the properties of sets including inclusion, strict inclusion and set equality ((Y. Y. Yao, 1996) and (Y. Y. Yao, 2003)). We add a counting function "count" to the rough set. We define rough inclusion, strict rough inclusion, rough equality, and rough inequality, based on the counting function associated with the rough set. Def: We say that...
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