Abstract:- Decision making consists in choosing, on the basis of various criteria, an appropriate subset of actions among a set of alternatives. The most research related to this field proceeds by aggregating all the criteria in a single objective function and rank alternatives according to this scalar measure. Unfortunately, this is often quite inadequate because it risks to alter the final decision. To discard this drawback, outranking based centralized methods have been proposed. However, they remain insufficient because they don't match with the logical distribution of criteria. That is why we propose a distributed approach which finds out the best compromise between all criteria by considering them as cooperative agents. The under...
This dissertation is concerned with distributed decision making in networked multi-agent systems; th...
In this thesis we formalise and study computational aspects of group decision making for rational, s...
The majority of multi-agent system implementations aim to optimise agents’ policies with respect to ...
Multi-agents techniques allow for designing distributed applications where different stakeholders co...
Decision making in multi-agent settings is a complex exercise where agents have to handle incomplete...
International audienceWe formulate some questions that may help an analyst to choose a multicriteria...
Proceeding of: 6th Ibero-American Conference on AI (IBERAMIA '98),Lisbon, Portugal, October 5–9, 199...
AbstractThis paper deals with a scenario of decision making where a moderator selects a (sub)set (ak...
This paper deals with a scenario of decision making where a moderator selects a (sub)set (aka port...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper proposes a...
In this technical report we present a multicriteria method for a plurality of deciders. The method i...
The subject of the paper is related with the decision making problems with several objectives and a ...
This paper aims to present new methods for group decision making that take into account different de...
An approach of building distributed decision support systems is proposed. There is defined a framewo...
AbstractIn group decision making, multiple decision makers (DMs) aim to reach a consensus ranking of...
This dissertation is concerned with distributed decision making in networked multi-agent systems; th...
In this thesis we formalise and study computational aspects of group decision making for rational, s...
The majority of multi-agent system implementations aim to optimise agents’ policies with respect to ...
Multi-agents techniques allow for designing distributed applications where different stakeholders co...
Decision making in multi-agent settings is a complex exercise where agents have to handle incomplete...
International audienceWe formulate some questions that may help an analyst to choose a multicriteria...
Proceeding of: 6th Ibero-American Conference on AI (IBERAMIA '98),Lisbon, Portugal, October 5–9, 199...
AbstractThis paper deals with a scenario of decision making where a moderator selects a (sub)set (ak...
This paper deals with a scenario of decision making where a moderator selects a (sub)set (aka port...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper proposes a...
In this technical report we present a multicriteria method for a plurality of deciders. The method i...
The subject of the paper is related with the decision making problems with several objectives and a ...
This paper aims to present new methods for group decision making that take into account different de...
An approach of building distributed decision support systems is proposed. There is defined a framewo...
AbstractIn group decision making, multiple decision makers (DMs) aim to reach a consensus ranking of...
This dissertation is concerned with distributed decision making in networked multi-agent systems; th...
In this thesis we formalise and study computational aspects of group decision making for rational, s...
The majority of multi-agent system implementations aim to optimise agents’ policies with respect to ...