International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 6, Issue 2, April 2013
Shahram Mollaiy Berneti
Pages: 198 - 208
In this paper, a novel hybrid approach composed of adaptive neuro-fuzzy inference system (ANFIS) and imperialist competitive algorithm is proposed. The imperialist competitive algorithm (ICA) is used in this methodology to determine the most suitable initial membership functions of the ANFIS. The proposed...
N. Shivasankaran, P. Senthil Kumar, G. Nallakumarasamy, K. Venkatesh Raja
Pages: 223 - 233
Scheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is required that...
Chunping Li, Ziniu Chen, Hao Du, Hui Wang, George Wilkie, JuanC. Augusto, Jun Liu
Pages: 234 - 243
We present a novel approach for using the pattern position distribution as features to detect software failure. In this approach, we divide an execution sequence into several sections and compute the pattern distribution in each section. The distribution of all patterns is then used as features to train...
Senem Kursun Bahadir, Selcuk Cebi, Cengiz Kahraman, Fatma Kalaoglu
Pages: 279 - 292
In this paper, a novel approach is proposed to determine the electronic system components of a smart clothing system design developed for blinds. The integration of diverse components which are developed and produced by different technologies and materials is a major challenge in a smart clothing system...
Piero Molino, Gianvito Pio, Corrado Mencar
Pages: 307 - 317
Fuzzy relations are simple mathematical structures that enable a very general representation of fuzzy knowledge, and fuzzy relational calculus offers a powerful machinery for approximate reasoning. However, one of the most relevant limitations of approximate reasoning is the efficiency bottleneck. In...
Mohsen Arefi, S. Mahmoud Taheri
Pages: 318 - 327
A new approach for testing fuzzy hypotheses based on fuzzy data is introduced. According to the proposed approach, a method is first developed based on the defined fuzzy point estimation, which are then used to make a procedure for testing fuzzy hypotheses. This approach has been used to test simple,...
Dongli Jia, Xintao Duan, Muhammad Khurram Khan
Pages: 328 - 336
Differential Evolution (DE) has been applied to many scientific and engineering problems for its simplicity and efficiency. However, the standard DE cannot be used in a binary search space directly. This paper proposes an adaptive binary Differential Evolution algorithm, or ABDE, that has a similar framework...
Jian Xiong, Yingwu Chen, Kewei Yang, Jing Liu
Pages: 337 - 353
The multi-attribute group decision making (MAGDM) problem has received considerable attention in the decision analysis field and fruitful achievements have been reported in the literature. This paper focuses on the MAGDM in which the subjective absolute judgement on alternatives with respect to evaluating...
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
Pages: 354 - 369
In order to further improve the performance of current genetic algorithms aiming at discovering communities, a local search based genetic algorithm (GALS) is here proposed. The core of GALS is a local search based mutation technique. In order to overcome the drawbacks of traditional mutation methods,...
Keyun Qin, Dan Meng, Zheng Pei, Yang Xu
Pages: 370 - 380
Soft set theory and interval set theory are all mathematical tools for dealing with uncertainties. This paper is devoted to the discussion of soft interval set and its application. The notion of soft interval sets is introduced by combining soft set and interval set. Several operations on soft interval...