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Selecting an appropriate treatment regimen for an HIV-infected patient is a significant problem. We previously developed a regimen selection system for the first-round HIV/AIDS treatment based on the fuzzy discrete event systems (FDES) theory where type-1 fuzzy sets are used to represent experts' consensus. In clinical practice, different experts may have their own distinct knowledge and expertise...
This paper presents a multi-agent system (MAS) for reduction of the bullwhip effect in fuzzy supply chains. First, it is shown that, even using an optimal ordering policy, without data sharing the bullwhip effect still exists in the supply chain. Then a multi-agent system is proposed to manage the bullwhip effect. The multi-agent system has four different types of agents. The multi-agent system applies...
Within the last decade or so, there have been several proposals to develop fuzzy system models via functional representation in place of rule base representation. We review at least three of these approaches.
Whether a rule-based fuzzy system has the ability to approximate any multivariate continuous function arbitrarily well is an important issue, especially for fuzzy control and fuzzy modeling. The answer to this issue concerning various Mamdani and Takagi-Sugeno (TS) fuzzy systems employing type-1 fuzzy sets is affirmative and well documented in the literature. As for type-2 (T2) fuzzy systems, the...
A metasearch engines is a tool that can be used to query multiple search engines in parallel. Functionally a metasearch engine passes the user query to multiple search engines, retrieves result lists of documents from them in response and then merges the result lists into one result list for the user. A key function of metasearch engines is to merge results returned by multiple search engines. Here...
In this paper we present a new method to generate interpretable fuzzy systems from training data. A fuzzy system is developed for nonlinear systems modeling and for system state forecasting. The antecedent partition uses triangular sets with 0.5 interpolations avoiding the presence of complex overlapping that happens in other methods. Singleton consequents are employed and least square method is used...
In this paper, we derive sufficient conditions under which the single-input single-output fuzzy system is bounded by linear functions in its output. If the fuzzy system is constructed with the complete and consistent fuzzy sets with trapezoid membership functions, we show that the derived conditions are simply the constraints on the consequent part parameters. Then we prove that any continuously differentiable...
This paper presents an integrated fault diagnosis and fault-tolerant control methodology for a two-link planar nonlinear robotic systems. Based on the information obtained during a fault diagnostic procedure, a fault-tolerant control component is designed to compensate for the effect of faults using an adaptive learning structure in the form of Takagi-Sugeno fuzzy systems. First, a baseline controller...
60 years ago, 1948, Norbert Wiener developed a meta-theory of feedback and governance operating across any simple or complex system: Cybernetics or Control and Communication in the Animal and the Machine. Already 80 years ago, Ludwig von Bertalanffy began his research on a ldquoGeneral Systems Theoryrdquo and after the II. World War the both scientific meta-theories merged to a ldquotr.ans-scientificrdquo...
Summary form only given: Web 2.0 has provided for a rapid growth of computer mediated social networks. Many notable Web 2.0 applications such as Facebook, Myspace and LinkedIn are social networks. Social relational networks are becoming an important technology in human behavioral modeling. Our goal here is to enrich the domain of social network modeling by introducing ideas from fuzzy sets and related...
The accurate prediction of forest fire size is important in order to issue adequate and timely warnings and to allocate fire-fighting assets efficiently and effectively. A forest fire data set collected in Portugal has recently become available as a benchmark for experimental validation of data mining techniques to tackle this problem. In this paper, we explore the suitability of a fuzzy rule based...
Analogy is a natural means of drawing a conclusion on the basis of past experience. Several of its forms have been identified in psychology and some of them have given rise to developments in artificial intelligence. The capability of fuzzy logic to model human reasoning and to cope with the imprecision common in human judgements provides interesting solutions for knowledge representation and approximate...
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