Quantifying judgmental uncertainty: Methodology, experiences, and insights
IEEE Transactions on Systems, Man and Cybernetics
Toward a general theory of information aggregation
Information Sciences: an International Journal
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Eliminating Public Knowledge Biases in Information-Aggregation Mechanisms
Management Science
The Delphi method as a research tool: an example, design considerations and applications
Information and Management
Methodologies and Algorithms for Group-Rankings Decision
Management Science
Novel methodologies and a comparative study for manufacturing systems performance evaluations
Information Sciences: an International Journal
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Weighted aggregation operators based on minimization
Information Sciences: an International Journal
Aggregation pheromone density based data clustering
Information Sciences: an International Journal
Modeling the concept of majority opinion in group decision making
Information Sciences: an International Journal
Treating fuzziness in subjective evaluation data
Information Sciences: an International Journal
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment
Information Sciences: an International Journal
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Aggregation of Preferences Based on FSAM in GDSS
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Today's business world is highly competitive and unpredictable, so effective decision-making is of primary importance. However, it is difficult to make effective decisions when sufficient information is not available, and decision-making in such situations involves a high risk of error. Conventional statistics based approaches to such problems are not effective, because in such situations decision-making is usually in the hands of a small panel of experts. However, the expert opinions can be represented by probability distribution functions. Thus, such a problem reduces to the aggregation of a set of probability distribution functions to an aggregated or consensus distribution. In this paper, we propose a new approach to address this problem. The novelties of the proposed approach include: (1) the problem is formulated as an optimization problem and (2) the overlapping area between an individual expert's distribution and an aggregated distribution is taken to measure the expertise level of that expert and subsequently to determine the weight of the expert. The proposed approach in this paper is illustrated by an example reported in literature handled with the Delphi method, which also shows the effectiveness of our approach.