- Cooperative Fuzzy Games Approach to Setting Target Levels of ECs in Quality Function Deployment
- Navigation menu
- liacountpeconpi.ml | Fuzzy Mathematical Programming and Fuzzy Matrix Games | | C R. Bector |
Sign In. Access provided by: anon Sign Out. The bargaining sets for fuzzy cooperative game with non-transferable utility Abstract: In this paper, we extended the concepts of the bargaining sets, which were proposed by Davis-Machler  and Mas-Colell  in classical cooperative game theory, to non-transferable utility fuzzy game. We proved that there exists the inclusion relation between them under the condition of not only in superadditive non-transferable games but also in non-transferable fuzzy games.
Cooperative Fuzzy Games Approach to Setting Target Levels of ECs in Quality Function Deployment
Therefore, we claim that the new concept of bargaining set have practical significance and theoretical value. Article :. Dubois and H.
Dudziak and B. Fargier and N. Grabisch, S. Greco, and M. Hasankhani and A. Hudelot, J. Atif, and I. Jun, M. Kang, and H.
Jun and J. Jun, H.
- Encyclopedia of Sediments & Sedimentary Rocks.
- Download Models For Cooperative Games With Fuzzy Relations Among The Agents.
- Cooperative Fuzzy Games.
- Life on the Mississippi (Barnes & Noble Library of Essential Reading).
- Advances in the Science and Technology of Ocean Management (Ocean Management and Policy).
- Spin Glasses and Complexity.
- Fuzzy Games under Possibility and Necessity Expectations!
Kim, and K. Jun and C. Lee and Y. Muthuraj and M. Narayanamoorthy and A. Raufaste and S. Samanta and M. Yang, S. Li, Z. Guo, and C. Li, S. Wang, and J. Zhang, Ed. Li, W. Yang, and Y. Zadeh, K.
Fu, and M. Shimura, Eds. Yeh and S. Cao, K.
Kim, and F. Jin, Q. Li, and Y. Xie and M. Suggest Documents. An algorithm to select the optimal program based on rough sets and fuzzy soft sets. On topological structures of fuzzy parametrized soft sets. Decomposition of fuzzy soft sets with finite value spaces. Similarity measure and entropy of fuzzy soft sets. An improved fuzzy c-means clustering algorithm based on shadowed sets and PSO. Cayley bipolar fuzzy graphs. Some new sets of sequences of fuzzy numbers with respect to the partial metric. Rough Atanassov's intuitionistic fuzzy sets model over two universes and its applications.
Safety early warning research for highway construction based on case-based reasoning and variable fuzzy sets. Multicriteria group decision making by using trapezoidal valued hesitant fuzzy sets. Lateral inhibition in accumulative computation and fuzzy sets for human fall pattern recognition in colour and infrared imagery.
An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis. Clustering by fuzzy neural gas and evaluation of fuzzy clusters. A method for fuzzy soft sets in decision making based on grey relational analysis and d-s theory of evidence: application to medical diagnosis. Whither core outcome sets?https://grealemcemidti.tk
liacountpeconpi.ml | Fuzzy Mathematical Programming and Fuzzy Matrix Games | | C R. Bector |
Autocatalytic sets and boundaries. Fuzzy universality of probability judgment. Distribution Free Prediction Sets. Child dental health: Fuzzy classifications. Fuzzy upper bounds in groupoids. UpSet: Visualization of Intersecting Sets. Extension of accompanying coordinate expansion and recurrence relation method for general-contraction basis sets. In this paper we prove that bipolar fuzzy se Download PDF. Recommend Documents.
Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program.
- Alpha Beta: How 26 Letters Shaped the Western World.
- Journal of Intelligent and Fuzzy Systems, Volume 32!
- Inspired by Your Shopping History?
- Account Options.
- Clinicians Guide To Neuropsychological Assessment.
- Nonverbal Communication: Science and Applications!
In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each paramet. We introduce the topological structure of fuzzy parametrized soft sets and fuzzy parametrized soft mappings. We define the notion of quasi-coincidence for fuzzy parametrized soft sets and investigated its basic properties. We study the closure, inter. The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parameterization methods in harmony to deal with uncertainty.