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Multi-criteria decision making based on DSmT-AHP
- in Proc. of Belief 2010 Int. Workshop
, 2010
"... Abstract—In this paper, we present an extension of the multi-criteria decision making based on the Analytic Hierarchy Process (AHP) which incorporates uncertain knowledge matrices for generating basic belief assignments (bba’s). The combination of priority vectors corresponding to bba’s related to e ..."
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Cited by 11 (10 self)
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Abstract—In this paper, we present an extension of the multi-criteria decision making based on the Analytic Hierarchy Process (AHP) which incorporates uncertain knowledge matrices for generating basic belief assignments (bba’s). The combination of priority vectors corresponding to bba’s related to each (sub)-criterion is performed using the Proportional Conflict Redistribu-tion rule no. 5 proposed in Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning. The method presented here, called DSmT-AHP, is illustrated on very simple examples.
Cautious OWA and Evidential Reasoning for Decision Making under Uncertainty, submitted to
- Proceedings of Fusion 2011 Int. Conf
"... Abstract—To make a decision under certainty, multicriteria decision methods aims to choose, rank or sort alternatives on the basis of quantitative or qualitative criteria and preferences expressed by the decision-makers. However, decision is often done under uncertainty: choosing alternatives can ha ..."
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Abstract—To make a decision under certainty, multicriteria decision methods aims to choose, rank or sort alternatives on the basis of quantitative or qualitative criteria and preferences expressed by the decision-makers. However, decision is often done under uncertainty: choosing alternatives can have different consequences depending on the external context (or state of the word). In this paper, a new methodology called Cautious Ordered Weighted Averaging with Evidential Reasoning (COWA-ER) is proposed for decision making under uncertainty to take into account imperfect evaluations of the alternatives and unknown beliefs about groups of the possible states of the world (scenarii). COWA-ER mixes cautiously the principle of Yager’s Ordered Weighted Averaging (OWA) approach with the efficient fusion of belief functions proposed in Dezert-Smarandache Theory (DSmT).
Fusion Techniques for Reliable Information: A Survey
"... Information fused by multi-sensors is an important factor for obtaining reliable contextual information in smart spaces which use the pervasive and ubiquitous computing techniques. Adaptive fusion improves robust operational system performances then makes a reliable decision by reducing uncertain in ..."
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Information fused by multi-sensors is an important factor for obtaining reliable contextual information in smart spaces which use the pervasive and ubiquitous computing techniques. Adaptive fusion improves robust operational system performances then makes a reliable decision by reducing uncertain information. However, these fusion techniques suffer from problems regarding the accuracy of estimation or inference. No commonly accepted approaches exist currently. In this survey, we introduce the advantages and disadvantages of fusion techniques which can be used in specific applications. Second, we categorize well-known models, algorithms, systems, and applications depending on the proposed approaches. Finally, we discuss the related issues for fusion techniques within the smart spaces then suggest research directions for improving the decision-making in uncertain situation.
1 Ontological User Modelling and Semantic Rule-Based Reasoning for Personalisation of Help-on-Demand Services in Pervasive Environments Future Generation Computer Systems Authors:
"... Existing context-aware applications are limited in their support of user personalisation. Nevertheless, the increase in the use of context-aware technologies has sparked the growth in assistive applications resulting in a need to enable adaptation to reflect the changes in user behaviors. This paper ..."
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Existing context-aware applications are limited in their support of user personalisation. Nevertheless, the increase in the use of context-aware technologies has sparked the growth in assistive applications resulting in a need to enable adaptation to reflect the changes in user behaviors. This paper introduces a systematic approach to service personalisation for mobile users in pervasive environments and presents a service-oriented distributed system architecture. The developed approach makes use of semantic technologies for user modelling and personalisation reasoning. In the paper we characterise user behaviours and needs in pervasive environments upon which ontological user models are created with special emphasis being placed on ontological modelling of dynamic and adaptive user profiles. We develop a rule-based personalisation mechanism that exploits semantic web rule mark-up language for rule design and a combination of semantic and rule-based reasoning for personalisation. We use two case studies focusing on providing personalised travel assistance for people using Help-on-Demand services deployed on a smart-phone to contextualise the discussions within the paper. The proposed approach is implemented in a prototype system, which includes Help-on-Demand services, content management services, user models and personalisation mechanisms in addition to application specific rules. Experiments have been designed and conducted to test and evaluate the approach with initial results demonstrating the functionality of the approach.
An Evidential Reasoning Based Decision Making Process for Pre-qualifying Construction Contractors
"... An evidential reasoning (ER) approach is applied to evaluate pre-qualification criteria in selection of a main contractor. This approach has proved to be useful and practical when a decision problem under consideration includes multiple criteria, which are of both a quantitative and qualitative nat ..."
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An evidential reasoning (ER) approach is applied to evaluate pre-qualification criteria in selection of a main contractor. This approach has proved to be useful and practical when a decision problem under consideration includes multiple criteria, which are of both a quantitative and qualitative nature. In this type of problem, a major difficulty is how to aggregate numerical data and subjective assessments in order to evaluate potential alternative contractors. A contractor pre-qualification problem (CPP) is investigated to show how the ER approach can overcome this difficulty. The decision making process is fully explained using the ER approach together with discussions about the advantages and disadvantages of the model presented.
α-Discounting Method for Multi-Criteria Decision Making (α-D MCDM)
"... In this paper we introduce a new procedure called α-Discounting Method for Multi-Criteria Decision Making (α-D MCDM), which is as an alternative and extension of Saaty’s Analytical Hierarchy Process (AHP). It works for any set of preferences that can be transformed into a system of homogeneous linea ..."
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In this paper we introduce a new procedure called α-Discounting Method for Multi-Criteria Decision Making (α-D MCDM), which is as an alternative and extension of Saaty’s Analytical Hierarchy Process (AHP). It works for any set of preferences that can be transformed into a system of homogeneous linear equations. A degree of consistency (and implicitly a degree of inconsistency) of a decision-making problem are defined. α-D MCDM is generalized to a set of preferences that can be transformed into a system of linear and/or non-linear homogeneous and/or non-homogeneous equations and/or inequalities. Many consistent, weak inconsistent, and strong inconsistent examples are given. Keywords:
APPLYING NEW UNCERTAINTY RELATED THEORIES AND MULTICRITERIA DECISION ANALYSIS METHODS TO SNOW AVALANCHE RISK MANAGEMENT
"... Making the best decision in the event of a snow avalanche encounters problems in the assessment and management process because of the lack of information and knowledge on natural phenomena and the heterogeneity and reliability of the information sources available (historical data, field measurements ..."
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Making the best decision in the event of a snow avalanche encounters problems in the assessment and management process because of the lack of information and knowledge on natural phenomena and the heterogeneity and reliability of the information sources available (historical data, field measurements, and expert assessments). One major goal today is therefore to aid decision making by improving the quality, quantity, and reliability of the available information. This article presents a new method called evidential reasoning and multicriteria decision analysis (ER-MCDA) to help decision making by considering information imperfections arising from several more or less reliable and possibly conflicting sources of information. First, the principles of the existing methods are reviewed. Classical methods of multicriteria decision making and existing theories attempting to represent and propagate information imperfections are described. In a second point, we describe the principle of the ER-MCDA method combining multicriteria decision analysis (MCDA) to model the decision-making process and fuzzy sets theory, possibility theory, and evidence theory to represent, fuse and propagate information imperfections. Experts, considered more or less reliable, provide imprecise and uncertain evaluations of quantitative and
Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model
"... Methods for ranking of alternatives or objects by pairwise comparisons using random set theory are proposed in the paper. Efficient algorithms weekly depending on the number of independent sources of data are considered. Methods using the imprecise Dirichlet model are used for obtaining cautious com ..."
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Methods for ranking of alternatives or objects by pairwise comparisons using random set theory are proposed in the paper. Efficient algorithms weekly depending on the number of independent sources of data are considered. Methods using the imprecise Dirichlet model are used for obtaining cautious comparison measures when the number of expert judgments is rather small and standard methods of random set theory may give risky results. The methods allow us to overcome some difficulties concerning the conflicting or contradictory sources of data. Various numerical examples illustrate the proposed algorithms and methods.
Email to author
, 2006
"... This is an electronic reprint of the original article. This reprint may differ from the original in pagination and typographic detail. ..."
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This is an electronic reprint of the original article. This reprint may differ from the original in pagination and typographic detail.
