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MAIS-E2 model and R2-IBN framework : port application case

Abed M., Alimi A. M., Ghedira K., Hsairi L., Benabdelhafid A.

Polish Journal of Management Studies

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2011

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Vol. 3

110-126

EN

This paper aims to study the problem of cooperation in the extended enterprise case. This study focuses on the presentation of agent-oriented extended enterprise as a solution allowing enterprises to overcome the cooperation problem, in general, and conflict resolution, in particular. In this regard, this objective is defined by three aspects: organizational, reasoning and application. The organizational and reasoning aspects are presented through an overview of designing the extended enterprise by an agent-oriented approach via the proposed MAIS-E² model (Multi-Agent Information System for an Extended Enterprise) and the proposed argument-based negotiation famework R²-IBN (Relationship-Role and Interest Based Negotiation) defined for MAIS-E² model, respectively. Then, we focus mainly on the application aspect through the instantiation of MAIS-E² model to the port application. These aspects are consolidated by the experimental validation via the developed prototype using JADE platform and experimental results with different cases in the port area.

PL

Celem niniejszej pracy jest zbadanie problemu współpracy w przypadku rozszerzonego przedsiębiorstwa. Niniejsze opracowanie koncentruje się na prezentacji zorientowanego na przedstawicielstwo rozszerzonego przedsiębiorstwa jako rozwiązania pozwalającego przedsiębiorstwom na rozwiązania problemu ogólnej współpracy a w szczególności rozwiązywania konfliktów. W związku z tym, cel ten określony jest przez trzy aspekty: organizacyjne, rozumowania i wnioskowania. Aspekty organizacyjne i rozumowanie przedstawione są poprzez przegląd projektowania rozszerzonego przedsiębiorstwa przez podejście zorientowane na przedstawicielstwo przez środek proponowany model MAIS-E² (Multi-Agent Systemu Informacji Rozszerzonego Przedsiębiorstwa) oraz proponowanego argumentu opartego na ramach negocjacji R²-IBN (Powiązania-Rola i odsetek w oparciu negocjacji), odpowiednio określone dla modelu MAIS-E². Następnie skupiamy się głównie na aspekcie aplikacji poprzez tworzenie instancji modelu MAIS-E² do portu. Aspekty te są konsolidowane przez zatwierdzenie eksperymentalnego powstałego prototypy w oparciu o platformę JADE i wyniki z różnych przypadkach w obszarze portu.

2

Beta neuro-fuzzy systems

Alimi A. M.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2003

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Vol. 7, No 1

23-41

EN

In this paper we present the Beta function and its main properties. A key feature of the Beta function, which is given by the central-limit theorem, is also given. We then introduce a new category of neural networks based on a new kernel: the Beta function. Next, we investigate the use of Beta fuzzy basis functions for the design of fuzzy logic systems. The functional equivalence between Beta-based function neural networks and Beta fuzzy logic systems is then shown with the introduction of Beta neuro-fuzzy systems. By using the SW theorem and expanding the output of the Beta neuro-fuzzy system into a series of Beta fuzzy-based functions, we prove that one can uniformly approximate any real continuous function on a compact set to any arbitrary accuracy. Finally, a learning algorithm of the Beta neuro-fuzzy system is described and illustrated with numerical examples.

3

Beta Fuzzy Logic Systems: Approximation Properties in the mimo Case

Alimi A. M., Hassine R., Selmi M.

International Journal of Applied Mathematics and Computer Science

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2003

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Vol. 13, no 2

225-238

EN

Many researches have been interested in the approximation properties of Fuzzy Logic Systems (FLS), which, like neural networks, can be seen as approximation schemes. Almost all of them tackled the Mamdani fuzzy model, which was shown to have many interesting approximation features. However, only in few cases the Sugeno fuzzy model was considered. In this paper, we are interested in the zero-order Multi-Input-Multi-Output (MIMO) Sugeno fuzzy model with Beta membership functions. This leads to Beta Fuzzy Logic Systems (BFLS). We show that BFLSs are universal approximators. We also prove that they possess the best approximation property and the interpolation characteristic.

4

Beta Fuzzy Logic Systems: Approximation Properties in the Siso Case

Alimi A. M., Hassine R., Selmi M.

International Journal of Applied Mathematics and Computer Science

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2000

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Vol. 10, no 4

857-875

EN

In this paper, a Single-Input Single-Output (SISO) Sugeno fuzzy model of the zeroth order with Beta membership functions for input variables is adopted. After the introduction of Beta Fuzzy Logic Systems (BFLS) a constructive theory is developed to establish the fact that they are universal approximators. Based on this theory, an algorithm, which can actually construct a BFLS approximating a given continuous function with an arbitrary degree of accuracy, is described. We then show that BFLSs satisfy more critical properties which are the best approximation property and the interpolation property. We complete the paper with a series of numerical comparisons between the approximation performances of BFLSs and other classes of widely used fuzzy logic systems. These comparisons confirm that BFLSs perform best in all the cases studied.