International Journal of Computational Intelligence Systems

Volume 7, Issue 6, December 2014

1. A new joint spectral radius analysis of random PSO algorithm

Jun Liu, Hongbin Ma, Xuemei Ren, Tianyun Shi, Ping Li
Pages: 1022 - 1043
The existing stability analysis of particle swarm optimization (PSO) algorithm is chiefly concluded by the assumption of constant transfer matrix or time-varying random transfer matrix. Firstly, one counterexample is provided to show that the existing convergence analysis is not possibly valid for PSO...

2. Attribute reduction based on maximal rules in decision formal context

Leijun Li, Jusheng Mi, Bin Xie
Pages: 1044 - 1053
One of the key issues in the theory of concept lattices is to extract the useful rules from the decision formal context. The maximal rules implicate the others, thus people are interested in them. This paper proposes two new kinds of attribute reduction in the decision formal context based on maximal...

3. A New Strategic Risk Reduction For Risk Management

Mourad Ykhlef, Danah Algawiaz
Pages: 1054 - 1063
Risk Management is one of the key cares of any organization strategic management; proper benefit of risk management is finding risks and their solutions. In this article, we will suggest a new Strategic Risk Reduction technique for producing optimal risk reduction strategies; which reduce risk exposure...

4. On (,)- (implicative) filters in -algebras

Jianming Zhan, Yang Xu, Young Bae Jun
Pages: 1064 - 1073
Molodtsov's soft set theory provides a general mathematical framework for dealing with uncertainty. This paper aims to put forward a new soft set–(,)-soft intersection set, which is a generalization of soft intersection sets. We introduce (, )- (implicative) filters of -algebras. Some characterizations...

5. Two dimensional particle swarm optimization algorithm for load flow analysis

Shabana Mehfuz, Sumit Kumar
Pages: 1074 - 1082
Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques. Particle swarm optimization (PSO) is a type of swarm intelligence that is based on social-psychological...

6. The Generalized Inverse of Atanassov's Intuitionistic Fuzzy Matrices

Rajkumar Pradhan, Madhumangal Pal
Pages: 1083 - 1095
In this paper, a method is presented to find generalized inverse (g-inverse) of Atanassov's intuitionistic fuzzy matrix (AIFM). Also, the idea of standard basis for Atanassov's intuitionistic fuzzy vectors is introduced. Some results regarding the g-inverse of AIFM are studied. An application of g-inverse...

7. Some geometric aggregation operators based on log-normally distributed random variables

Xin-Fan Wang, Jian-Qiang Wang, Sheng-Yue Deng
Pages: 1096 - 1108
The weighted geometric averaging (WGA) operator and the ordered weighted geometric (OWG) operator are two of most basic operators for aggregating information. But these two operators can only be used in situations where the given arguments are exact numerical values. In this paper, we first propose some...

8. Optimal Robot Path Planning for Multiple Goals Visiting Based on Tailored Genetic Algorithm

Fei Liu, Shan Liang, Xiaodong Xian
Pages: 1109 - 1122
In real applications, mobile robot may be commanded to go to multiple goals to execute special commissions. This study analyzes the particular properties of this multiple goals visiting task and proposes a novel tailored genetic algorithm for optimal path planning for this task. In proposed algorithm,...

9. A new similarity measure based on Bayesian Network signature correspondence for brain tumors cases retrieval

Hedi Yazid, Karim Kalti, Najoua Essoukri Benamara
Pages: 1123 - 1136
Case retrieval constitutes an interesting area of research which contributes to the evolution of several domains. The similarity measure module is a fundamental step in the retrieval process which affects remarkably on a retrieval system. In this context, we suggest in this paper a similarity measure...

10. Research on Energy-Aware Topology Strategy Based on Wireless Sensor in Internet of Things

XueFei Tang, XinZheng Niu, Shahzad Ali
Pages: 1137 - 1147
Since the finitude of hardware and network dynamic limit the bandwidth based on wireless sensor in the wireless internet of things (IOT), it is difficult to obtain the network topology information accurately and timely. In this paper, we present an algorithm called Mobile Agent Fuzzy Energy Spanning...

11. BP neural network integration model research for hydraulic metal structure health diagnosing

Guangming Yang, Chongshi Gu, Yong Huang, Kun Yang
Pages: 1148 - 1158
Several potential network structures are chosen to do a large number of experimental analysis, historical data is divided into training sample and testing sample, and the corresponding neural network model is established with BP learning algorithm. After checking the testing sample, a superior network...

12. On the existence of fuzzy solutions for partial hyperbolic functional differential equations

Hoang Viet Long, Nguyen Thi Kim Son, Ha Thi Thanh Tam, Bui Cong Cuong
Pages: 1159 - 1173
In this paper, we consider the boundary valued problems for fuzzy partial hyperbolic functional differential equations with local and integral boundary conditions. A new weighted metric is used to investigate the existence and uniqueness of fuzzy solutions for these problems in a complete fuzzy metric...

13. A novel Approach to Human Gait Recognition using possible Speed Invariant features

Anup Nandy, Rupak Chakraborty, Pavan Chakraborty, G.C. Nandi
Pages: 1174 - 1193
In this paper a new area based technique is proposed for deriving gait signatures by decomposing the human body into three independent structural segments such as head node, arm swing and leg swing areas. Initially, all the feature points are represented as the sides of an n-sided polygon for calculating...

14. Overview of the SLAVE learning algorithm: A review of its evolution and prospects

David García, Antonio González, Raúl Pérez
Pages: 1194 - 1221
Inductive learning has been—and still is—one of the most important methods that can be applied in classification problems. Knowledge is usually represented using rules that establish relationships between the problem variables. SLAVE (Structural Learning Algorithm in a Vague Environment)...