applying multi-agent intelligent system to decision making with knowledge management approach

A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach

In the context of intelligent home energy management in smart grid, the occupants’ consumption behavior has a direct effect on the demand and supply of the electrical energy market. Correspondingly, the policies of the utility providers affect consumption behavior so techniques and tools are required to analyse the occupants’ preferences, habits and lifestyles in order to support and facilitate...

Agent-Based Decision Making through Intelligent Knowledge Discovery

Monitoring of negative effects of urban pollution and realtime decision making allow to clarify consequences upon human health. Large amounts of raw data information describe this situation, and to get knowledge from it, we apply intelligent agents. Further modelling and simulation gives the new knowledge about the tendencies of situation development and about its structure. Agent-based decisio...

A hybrid approach to multi-agent decision-making

In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire extinction) motivations. However, current decision-theoretic models are either purely individual or purely collective and find it difficult to deal with motivational attitudes; on the other hand, mental-state based models find it d...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters

In this paper a new approach to organization of structure of multi-agent decision-making system, operating on the basis of dispersed knowledge, was proposed. In this approach dynamically generated disjoint clusters are used. The new approach is based on the assumption that one cluster should contain resource agents who agree on the classification of test object to the decision classes. This com...

Applying Saaty's Multicriterial Decision Making Approach in Grid Resource Management

In this paper we consider combining ontologically represented information with Saaty’s Analytic Hierarchy Process (AHP) to facilitate decision support for Grid users. The context for the proposal is provided by the Agents in Grid project (AiG), which aims at development of an agent-based infrastructure for efficient resource management in the Grid. In the AiG project, agents form teams, manager...