By Qiangfu Zhao (auth.), Kurosh Madani, António Dourado, Agostinho Rosa, Joaquim Filipe (eds.)
The current publication encompasses a set of chosen prolonged papers from the 3rd foreign Joint convention on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The convention used to be composed of 3 co-located meetings: The overseas convention on Fuzzy Computation (ICFC), the foreign convention on Evolutionary Computation (ICEC), and the foreign convention on Neural Computation (ICNC). fresh progresses in clinical advancements and purposes in those 3 components are mentioned during this publication. IJCCI acquired 283 submissions, from fifty nine nations, in all continents. This booklet comprises the revised and prolonged types of a strict number of the easiest papers provided on the convention.
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Additional info for Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2011, Paris, France, October 24-26, 2011
Sample text
Between e[i] and eˆ . Second, we increase the consistency of the reciprocal matrices and this improvement is realized at the level of individual decision-maker. The following performance index quantifies this aspect of collaboration c Q2 = ν i (10) i=1 These are the two objectives to be minimized. If we consider the scalar version of the optimization problem, it can arise in the following additive format Q = gQ1 + Q2 where g ≥ 0. The overall optimization problem with constraint reads now as follows Min R[1], R[2], …,R[c] ∈ G(R)Q (11) subject to predetermined level of granularity ε where G(R) stands for the granular version of the of the reciprocal matrix.
The following performance index quantifies this aspect of collaboration c Q2 = ν i (10) i=1 These are the two objectives to be minimized. If we consider the scalar version of the optimization problem, it can arise in the following additive format Q = gQ1 + Q2 where g ≥ 0. The overall optimization problem with constraint reads now as follows Min R[1], R[2], …,R[c] ∈ G(R)Q (11) subject to predetermined level of granularity ε where G(R) stands for the granular version of the of the reciprocal matrix.
Rough sets and fuzzy sets. Fuzzy Sets and Systems 17(1), 99–102 (1985) 11. : Rudiments of rough sets. Information Sciences 177(1), 3–27 (2007) 12. : Fuzzy Systems Engineering: Toward Human-Centric Computing. John Wiley, Hoboken (2007) 13. : Shadowed sets: representing and processing fuzzy sets. IEEE Trans. on Systems, Man, and Cybernetics, Part B 28, 103–109 (1998) 14. : Analytic Hierarchy Process (AHP) in group Decision Making and Its Optimization with an Allocation of Information Granularity.