Elements of machine learning
Viewpoints: principles, problems and a practical approach to requirements engineering
Annals of Software Engineering
The Analytic Hierarchy Process--An Exposition
Operations Research
Service -Oriented Computing: Concepts, Characteristics and Directions
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Logical Preference Representation and Combinatorial Vote
Annals of Mathematics and Artificial Intelligence
Compact value-function representations for qualitative preferences
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Conditional and Composite Temporal Constraints with Preferences
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
Reasoning with Conditional Preferences Across Attributes
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A quantitative model for user preferences based on qualitative specifications
Proceedings of the 2009 international conference on Pervasive services
Journal of Artificial Intelligence Research
The computational complexity of dominance and consistency in CP-Nets
Journal of Artificial Intelligence Research
Expert Systems with Applications: An International Journal
Toward an Understanding of User-Defined Conditional Preferences
DASC '09 Proceedings of the 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing
Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods
Expert Systems with Applications: An International Journal
Stratified analytic hierarchy process: prioritization and selection of software features
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Strategic analysis of healthcare service quality using fuzzy AHP methodology
Expert Systems with Applications: An International Journal
Preferences in AI: An overview
Artificial Intelligence
Computational techniques for a simple theory of conditional preferences
Artificial Intelligence
The local geometry of multiattribute tradeoff preferences
Artificial Intelligence
Solving multi-criteria decision making with incomplete linguistic preference relations
Expert Systems with Applications: An International Journal
Conditional preferences in software stakeholders' judgments
Proceedings of the 2011 ACM Symposium on Applied Computing
Assessing the maintainability of software product line feature models using structural metrics
Software Quality Control
Introducing variable importance tradeoffs into CP-nets
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UCP-networks: a directed graphical representation of conditional utilities
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Hi-index | 12.05 |
Representing and reasoning over different forms of preferences is of crucial importance to many different fields, especially where numerical comparisons need to be made between critical options. Focusing on the well-known Analytical Hierarchical Process (AHP) method, we propose a two-layered framework for addressing different kinds of conditional preferences which include partial information over preferences and preferences of a lexicographic kind. The proposed formal two-layered framework, called CS-AHP, provides the means for representing and reasoning over conditional preferences. The framework can also effectively order decision outcomes based on conditional preferences in a way that is consistent with well-formed preferences. Finally, the framework provides an estimation of the potential number of violations and inconsistencies within the preferences. We provide and report extensive performance analysis for the proposed framework from three different perspectives, namely time-complexity, simulated decision making scenarios, and handling cyclic and partially defined preferences.