International Journal of Computational Intelligence Systems

Volume 8, Issue 3, June 2015
Research Article

1. Optimization Decision of Supplier Selection in Green Procurement under the Mode of Low Carbon Economy

Zhuo Hu, Congjun Rao, Yue Zheng, Dong Huang
Pages: 407 - 421
Under the background of economic globalization, selecting a path of low-carbon economic development and developing green supply chains are the inevitable choice of realizing the sustainable development for the enterprises. In this paper, we investigate the optimization decision problem of supplier selection...
Research Article

2. A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
Pages: 422 - 437
The big data term is used to describe the exponential data growth that has recently occurred and represents an immense challenge for traditional learning techniques. To deal with big data classification problems we propose the Chi-FRBCS-BigData algorithm, a linguistic fuzzy rule-based classification...
Research Article

3. An Extended Quality Function Deployment Incorporating Fuzzy Logic and GDM Under Different Preference Structures

Gülçin Büyüközkan, Gizem Cifci
Pages: 438 - 454
The paper proposes a fuzzy logic-based group decision making (GDM) approach, which can be used for quality function deployment (QFD) in the development of product improvement strategies. Decision makers can state their preferences in various ways, including incomplete preferences which are difficult...
Research Article

4. Hybrid Sorting Immune Simulated Annealing Algorithm For Flexible Job Shop Scheduling

N. Shivasankaran, P. Senthil Kumar, K. Venkatesh Raja
Pages: 455 - 466
Hybrid sorting immune simulated annealing technique (HSISAT), a Meta - heuristic is proposed for solving the multi objective flexible job-shop scheduling problem (FJSP). The major objectives are distributing the time of machines among the set of operations and scheduling them to minimize the criterion...
Research Article

5. Decerns: A Framework for Multi-Criteria Decision Analysis

Boris Yatsalo, Vladimir Didenko, Sergey Gritsyuk, Terry Sullivan
Pages: 467 - 489
A new framework, , for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. framework contains a library of modules that are the basis for two scalable systems: for analysis of multicriteria problems, and for multicriteria analysis of spatial...
Research Article

6. Neural Incremental Attribute Learning in Groups

Fangzhou Liu, Ting Wang, Sheng-Uei Guan, Ka Lok Man
Pages: 490 - 501
Incremental Attribute Learning (IAL) is a feasible approach for solving high-dimensional pattern recognition problems. It gradually trains features one by one. Previous research indicated that supervised machine learning with input attribute ordering can improve classification results. Moreover, input...
Research Article

7. A Supervised Requirement-oriented Patent Classification Scheme Based on the Combination of Metadata and Citation Information

Fujin Zhu, Xuefeng Wang, Donghua Zhu, Yuqin Liu
Pages: 502 - 516
Patent classification systems are applied extensively in innovative analysis. Existing patent classification schemes are either technology-dependent or TRIZ-based. The former ones, such as the IPC and UPC, are normally developed by different patent offices in the world mainly for the purpose of patentability...
Research Article

8. Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams

Chiranjeevi Manike, Hari Om
Pages: 517 - 529
High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained. Due to the non-existence of anti-monotone property...
Research Article

9. Chemical Reaction Optimization for Feature Combination in Bio-inspired Visual Attention

Lu Gan, Haibin Duan
Pages: 530 - 538
Bio-inspired visual attention models human visual system to detect the most salient part of a visual field. In the existing diversified computational models, bottom-up visual attention that works out a saliency map to indicate the conspicuity of visual stimuli in an image has gained much popularity....
Research Article

10. Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database

Ch. Sanjeev Kumar Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang
Pages: 539 - 552
This work presents an accurate and smooth functional link artificial neural network (FLANN) for classification of noisy database. The accuracy and smoothness of the network is taken birth by suitably tuning the parameters of FLANN using differential evolution and filter based feature selection. We use...
Research Article

11. The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment

Zengping Wang, Lefeng Zhang, Guohuang Li
Pages: 553 - 560
In normal operation, doubly-fed induction generator (DFIG) can generate certain range of reactive power and the DFIG based wind farm can participate in reactive power control of grid as a reactive power supply. This paper proposes one multi-objective power dispatch optimization model which considers...
Research Article

12. Optimal Tunnel Coverage Problem by One New Nature-Inspired Energy Conservation Optimization

Jun Liu, Tianyun Shi, Ping Li, Xuemei Ren, Hongbin Ma
Pages: 561 - 590
This paper mainly provides one new nature inspired Energy Conversation Optimization (ECO) method to search for the optimal sensor position of sensor network in the typical tunnels, fully covering the tunnel and dynamically locating the high-speed train in the tunnel. Firstly, one objective of this study...
Research Article

13. An approach to Atanassov's interval-valued intuitionistic fuzzy multi-attribute decision making based on prospect theory

Fanyong Meng, Chunqiao Tan, Xiaohong Chen
Pages: 591 - 605
Prospect theory is a very effective method to express behavioral decision making under uncertainty. This paper attempts to develop a method to multi-attribute decision making with Atanassov's interval-valued intuitionistic fuzzy information using prospect theory. This method first transforms Atanassov's...