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Titlebook: Decision Support Systems IX: Main Developments and Future Trends; 5th International Co Paulo Sérgio Abreu Freitas,Fatima Dargam,José Mari C

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發(fā)表于 2025-3-23 11:16:42 | 只看該作者
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The Use of a Decision Support System to Aid a Location Problem Regarding a Public Security Facility a strategic matter regarding the costs of operations and police response times to occurrences. On conducting a literature review of the facility location problem in the public security area, it was noticed the mathematical model Maximal Covering Location Problem (MCLP) could be applied to a case st
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Value-Chain Wide Food Waste Management: A Systematic Literature ReviewGoals. Food waste occurs in many different forms and at all stages of the food value chain, it has become a worldwide issue that requires urgent actions. However, the management of food waste has been traditionally segmented and in an isolated manner. This paper reviews existing work that has been d
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發(fā)表于 2025-3-24 18:27:38 | 只看該作者
A Conceptual Business Process Entity with Lifecycle and Compliance Alignmenttity, and (c) a compliance framework that focuses on the degree of process compliance to imposed regulatory standards. The pursuing objective is to systematize business processes through a conceptual entity applicable to Business Process Management (BPM) practices and compliance-checking. The applie
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發(fā)表于 2025-3-24 21:16:43 | 只看該作者
How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centarvesting, seeds, ground, season etc.… This task is even more difficult when a group of farmers must make the decision. Generally, optimization models support the farmers to find no dominated solutions, but the problem remains difficult if they have to agree on one solution. In order to support the
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發(fā)表于 2025-3-25 01:42:43 | 只看該作者
Intelligent Multicriteria Decision Support System for a Periodic Predictionto belong. This method is based on three phases. The first consists of three steps: the construction of a family of criteria for the characterization of actions; the construction of a representative learning set for each of the decision classes; and the construction of a decision table. The second p
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