Introduction to artificial neural systems
Introduction to artificial neural systems
Applications and extensions of OWA aggregations
International Journal of Man-Machine Studies
Refinements of the maximin approach to decision-making in a fuzzy environment
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Fuzzy Sets and Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Toward a logic of perceptions based on fuzzy logic
Discovering the world with fuzzy logic
Ordinal decision making with a notion of acceptable: denoted ordinal scales
Data mining, rough sets and granular computing
Weighted triangular norms using generating functions
International Journal of Intelligent Systems
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Modeling holistic fuzzy implication using co-copulas
Fuzzy Optimization and Decision Making
Average misbelief criterion in the minimal fuzzy covering problem
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Using a minimal fuzzy covering in decision-making problems
Information Sciences: an International Journal
The combined decision making method based on the statistical and fuzzy analysis
ECC'09 Proceedings of the 3rd international conference on European computing conference
Evaluation of bankruptcy risks by the method of fuzzy statistics
ECC'09 Proceedings of the 3rd international conference on European computing conference
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Linguistic-based voting through centered OWA operators
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making
WSEAS Transactions on Information Science and Applications
Fuzzy Optimization and Decision Making
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Extension of discrete t-norms and t-conorms to discrete fuzzy numbers
Fuzzy Sets and Systems
Fuzzy covering problem based on the expert valuations
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
A combination approach for obtaining the minimize disparity OWA operator weights
Fuzzy Optimization and Decision Making
Aggregation of subjective evaluations based on discrete fuzzy numbers
Fuzzy Sets and Systems
Decision support's precising technology in the investment project risk management
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Fuzzy modeling of minimal crediting risks in investment decisions
ACMIN'12 Proceedings of the 14th international conference on Automatic Control, Modelling & Simulation, and Proceedings of the 11th international conference on Microelectronics, Nanoelectronics, Optoelectronics
Qualitative representation of building sites annoyance
Proceedings of the 2012 ACM workshop on City data management workshop
Ordering based decision making - A survey
Information Fusion
An ordinal approach to computing with words and the preference-aversion model
Information Sciences: an International Journal
A new linguistic computational model based on discrete fuzzy numbers for computing with words
Information Sciences: an International Journal
| Hi-index | 0.00 |
Our interest is with the fusion of information which has an ordinal structure. Information fusion in this environment requires the availability of ordinal aggregation operations. Basic ordinal operations are first introduced. Next we investigate conjunctive and disjunction aggregations of ordinal information. The idea of a pseudo-log in the ordinal environment is presented. We discuss the introduction of a zero like point on an ordinal scale along with the related ideas of bipolarity (positive and negative values) and uni-norm aggregation operators. We introduce mean like aggregation operators as well weighted averages on a ordinal scale. The problem of selecting between ordinal models is considered.