Interval-valued fuzzy sets and “compensatory AND”
Fuzzy Sets and Systems
Aggregation operators and fuzzy systems modeling
Fuzzy Sets and Systems
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Sets and Systems
Van Melle's combining function in MYCIN is a representable uninorm: an alternative proof
Fuzzy Sets and Systems - Special issue on triangular norms
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
The functional equations of Frank and Alsina for uninorms and nullnorms
Fuzzy Sets and Systems
Uninorms in fuzzy systems modeling
Fuzzy Sets and Systems
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Parameters for Utilitarian Desires in a Qualitative Decision Theory
Applied Intelligence
IEEE Transactions on Knowledge and Data Engineering
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An English Auction Protocol for Multi-attribute Items
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation
Fuzzy Sets and Systems - Theme: Multicriteria decision
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Editorial: fuzzy set and possibility theory-based methods in artificial intelligence
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Knowledge-based acquisition of tradeoff preferences for negotiating agents
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Acquiring domain knowledge for negotiating agents: a case of study
International Journal of Human-Computer Studies
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
International Journal of Human-Computer Studies
A heuristic bidding strategy for buying multiple goods in multiple english auctions
ACM Transactions on Internet Technology (TOIT)
Compensatory operators in fuzzy linear programming with multiple objectives
Fuzzy Sets and Systems
Decisions and evaluations by hierarchical aggregation of information
Fuzzy Sets and Systems
Appropriate choice of aggregation operators in fuzzy decision support systems
IEEE Transactions on Fuzzy Systems
Logical basis for information theory and probability theory
IEEE Transactions on Information Theory
A gossip-based protocol to reach consensus via uninorm aggregation operator
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
On prioritized weighted aggregation in multi-criteria decision making
Expert Systems with Applications: An International Journal
Aggregation functions: Construction methods, conjunctive, disjunctive and mixed classes
Information Sciences: an International Journal
Preference-based English reverse auctions
Artificial Intelligence
Generalized prioritized aggregation operators
International Journal of Intelligent Systems
KEMNAD: A Knowledge Engineering Methodology For Negotiating Agent Development
Computational Intelligence
To reach consensus using uninorm aggregation operator: A gossip-based protocol
International Journal of Intelligent Systems
A D-S theory based AHP decision making approach with ambiguous evaluations of multiple criteria
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
A Model for Decision Making with Missing, Imprecise, and Uncertain Evaluations of Multiple Criteria
International Journal of Intelligent Systems
Knowledge acquisition based on learning of maximal structure fuzzy rules
Knowledge-Based Systems
Bilateral single-issue negotiation model considering nonlinear utility and time constraint
Decision Support Systems
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In many decision making problems, a number of independent attributes or criteria are often used to individually rate an alternative from an agent's local perspective and then these individual ratings are combined to produce an overall assessment. Now, in cases where these individual ratings are not in complete agreement, the overall rating should be somewhere in between the extremes that have been suggested. However, there are many possibilities for the aggregated value. Given this, this paper systematically explores the space of possible compromise operators for such multi-attribute decision making problems. Specifically, we axiomatically identify the complete spectrum of such operators in terms of the properties they should satisfy, and show the main ones that are widely used-namely averaging operators, uninorms and nullnorms-represent only three of the nine types we identify. For each type, we then go onto analyse their properties and discuss how specific instances can actually be developed. Finally, to illustrate the richness of our framework, we show how a wide range of operators are needed to model the various attitudes that a user may have for aggregation in a given scenario (bidding in multi-attribute auctions).