https://popups.uliege.be/3041-539x/index.php?id=1810 Index terms fr 0 https://popups.uliege.be/3041-539x/index.php?id=1582 In the paper, the simulation approach to decision support in enterprise has been described. The role of the subject in the modelling of a complex system is discussed. It shows that the main problem in the modelling of complex systems derives from the complexity of the systems themselves and not from the short comings of the particular methodology. The article continues with the general simulation model of the business system described by Forrester's system dynamics. The methodology is sufficiently abstact to allow a qualitative and quantitative analysis of system functioning through feedback loops. The multiple criteria function used for the evaluation of different scenarios was defined with the aid of a decision group using the group support system. The methodology was successfully tested on real cases. Mon, 15 Jul 2024 15:15:01 +0200 Mon, 07 Oct 2024 12:42:56 +0200 https://popups.uliege.be/3041-539x/index.php?id=1582 https://popups.uliege.be/3041-539x/index.php?id=2860 A computing anticipatory system must have the ability to make decision about its next action. To design and develop various computing anticipatory systems effectively, it is desirable to find a general methodology for decision making in computing anticipatory systems. This paper presents a deontic relevant logic approach to reasoning about actions in computing anticipatory systems. The paper discusses why the deontic relevant logic should be adopted as the fundamental logic to underlie reasoning about actions, presents a forward reasoning engine for reasoning about actions, and shows results of a case study to perform automated reasoning about actions based on deontic relevant logic. Tue, 03 Sep 2024 15:24:51 +0200 Tue, 03 Sep 2024 15:24:59 +0200 https://popups.uliege.be/3041-539x/index.php?id=2860 https://popups.uliege.be/3041-539x/index.php?id=2657 Decision making for Rangeland degradation control is very complicate and strongly need to apply computer and multi criteria analysis. In this study aim is finding the best economical pitting sites for reduction degradation in rangelands. Pitting is a mechanical soil and water conservation by making pits in surface. By storing the rainfall water in pits, vegetation cover will be better and rangelands degradation will be reduced. Hable Roud watershed in north of Iran had many spatial data. The research techniques are multi criteria analysis and decision support. Spatial natural and environmental data is used. Some criteria are needed to find the best economical pitting sites. In this watershed, a model with these spatial factors (sediment yield…), economic factors (proximity to roads…) and constraints (slope less than l0 %…) was designed. These maps were entered to computer and rasterised and by SMCE module in ILWIS software were analyzed. Maps were standardized in value range between 0 till 1. They were weighted by AHP or direct method. Compositing of these prepared layers were done by SMCE. Output was composite index map. This map was classified and prioritized for pitting measwes. This model can help to decision making and measure ends anticipatory be faster, easier and more exactly. Thu, 29 Aug 2024 16:13:57 +0200 Thu, 29 Aug 2024 16:14:07 +0200 https://popups.uliege.be/3041-539x/index.php?id=2657 https://popups.uliege.be/3041-539x/index.php?id=2587 The aim of research is - to analyze decision making process under conflict solving situation by using modeling as anticipatory creative way informational analysis by synthesis procedure, paying attention to the process of forgiveness as the most creative decision. Decision making process is informational creative procedure, which is made by neocortex using creative way of analysis by Synthesis or using more general understanding of closed-loop coding-decoding method. In this way we can analyze all ways of decisions as codes of different strategies. In conflict situation neocortex is creating virtual plans for implementation of every possible strategy and according to the results of modeling is choosing one strategy and appropriate plan of tactics of behavior. This is model-based anticipation. Thu, 29 Aug 2024 14:36:20 +0200 Thu, 29 Aug 2024 14:36:27 +0200 https://popups.uliege.be/3041-539x/index.php?id=2587 https://popups.uliege.be/3041-539x/index.php?id=2266 In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new researcha rea. However, the approaches studied in this area have mainly been oriented at highly structured and precise data pertaining to a single dimension mostly. In addition, the goal to obtain understandable results is often neglected. Since the aim of fuzzy technology has always been to model linguistic information and to achieve understandable solutions, we expect it to play an important role in heterogeneous information mining. The objective of the paper is to analyze heterogeneous information sources with the prominent aim of producing comprehensible results. Wed, 31 Jul 2024 12:19:33 +0200 Wed, 31 Jul 2024 12:19:46 +0200 https://popups.uliege.be/3041-539x/index.php?id=2266 https://popups.uliege.be/3041-539x/index.php?id=1805 The definitions of two versions of uncertain logics and variables are given. The review of main concepts and results concerning the application of the uncertain variables to the analysis and decision making in a class of systems with unknown parameters in their mathematical models is presented. The special and related problems concerning the application to pattern recognition and operation systems, the learning processes and the distributed knowledge representation are described. Tue, 16 Jul 2024 15:59:05 +0200 Tue, 16 Jul 2024 15:59:20 +0200 https://popups.uliege.be/3041-539x/index.php?id=1805