International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 11, Issue 1, 2018
Hongbin Liu, Le Jiang, Zeshui Xu
Pages: 45 - 57
The probabilistic linguistic term sets (PLTSs) are powerful to deal with the hesitant linguistic situation in which each provided linguistic term has a probability. The PLTSs contain uncertainties caused by the linguistic terms and their probability information. In order to measure such uncertainties,...
Peiqin Li, Jianbin Xie, Zhen Li, Tong Liu, Wei Yan
Pages: 58 - 65
Face retrieval is becoming increasingly useful and important for security maintenance operations. In actual applications, face retrieval is usually influenced by some changeable site conditions, such as various postures, expressions, camera angles, illuminations, and so on. In this paper, facial peculiar...
Wilson Castro, Jimy Oblitas, Jorge Maicelo, Himer Avila-George
Pages: 86 - 100
In this work, the use of expert systems and hyperspectral imaging in the determination of coffee rust infection was evaluated. Three classifiers were trained using spectral profiles from different stages of infection, and the classifier based on a support vector machine provided the best performance....
Yejun Xu, Caiyun Li, Xiaowei Wen
Pages: 101 - 119
This paper proposes a decision support process for incomplete hesitant fuzzy preference relations (HFPRs). First, we present a revised definition of HFPRs, in which the values are not ordered for the hesitant fuzzy element. Second, we propose a method to normalize the HFPRs and estimate the missing elements...
Sandeep D. Hanwate, Yogesh V. Hote
Pages: 133 - 145
In this paper, a direct formula is proposed for design of robust PID controller for sun tracker system using quadratic regulator approach with compensating pole (QRAWCP). The main advantage of the proposed approach is that, there is no need to use recently developed iterative soft computing techniques...
Pavle Milošević, Ana Poledica, Aleksandar Rakićević, Vladimir Dobrić, Bratislav Petrović, Dragan Radojević
Pages: 206 - 218
In this paper, we introduce a logic-driven framework for modeling similarity based on interpolative Boolean algebra (IBA). It consists of two main steps: data preprocessing and similarity measuring by means of IBA similarity measure and logical aggregation. The purpose of these steps is to detect dependencies...
Shahrul Naim Sidek, Muhammad Rozaidi Roslan, Sabrilhakim Sidek, Mohd Shukry Mohd Khalid
Pages: 238 - 247
The use of prostheses is necessary to restore lost limbs to a level of functionality to enable activity of daily living. Many prostheses are now using myoelectric based control techniques to operate. However, to develop a model based controller for the system remains a challenge as accurate model is...
Sheng-Hua Xiong, Zhen-Song Chen, Kwai-Sang Chin
Pages: 256 - 271
In this paper, we propose an extension of hesitant fuzzy sets, i.e., proportional hesitant fuzzy sets (PHFSs), with the purpose of accommodating proportional hesitant fuzzy environments. The components of PHFSs, which are referred to as proportional hesitant fuzzy elements (PHFEs), contain two aspects...
Romina Torres, Rodrigo Salas, Nelly Bencomo, Hernan Astudillo
Pages: 272 - 281
Service-based systems (SBSs) need to be reconfigured when there is evidence that the selected Web services configurations no further satisfy the specifications models and, thus the decision-related models will need to be updated accordingly. However, such updates need to be performed at the right pace....
Oscar Reyes, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
Pages: 282 - 295
Locally weighted regression allows to adjust the regression models to nearby data of a query example. In this paper, a locally weighted regression method for the multi-target regression problem is proposed. A novel way of weighting data based on a data gravitation-based approach is presented. The process...
Vincent Bombardier, Jean-Philippe Georges, Éric Rondeau, Idriss Diouri
Pages: 316 - 329
The Quality of Service (QoS) offered by a network is based on criteria such as delay, jitter and message loss. QoS management is crucial to ensure that the network respects the communication constraints defined by the application requirements. The network must dynamically manage QoS according to the...
Linna Wang, Xin Yang, Yong Chen, Ling Liu, Shiyong An, Pan Zhuo
Pages: 355 - 370
In practical decision-making, we prefer to characterize the uncertain problems with the hybrid data, which consists of various types of data, e.g., categorical data, numerical dada, interval-valued data and set-valued data. The extended rough sets can deal with single type of data based on specific binary...
Savaş Yıldırım, Tuğba Yıldız
Pages: 371 - 383
Recently, Neural Network Language Models have been effectively applied to many types of Natural Language Processing (NLP) tasks. One popular type of tasks is the discovery of semantic and syntactic regularities that support the researchers in building a lexicon. Word embedding representations are notably...
Huimin Fu, Yang Xu, Guanfeng Wu, Hairui Jia, Wuyang Zhang, Rong Hu
Pages: 402 - 413
An improved adaptive genetic algorithm is proposed for solving 3-SAT problems based on effective restart and greedy strategy in this paper. Several new characteristics of the algorithm are developed. According to the shortcomings of the adaptive genetic algorithm, it is easy to fall into the premature...
Milica Latinovic, Ivana Dragovic, Vesna Bogojevic Arsic, Bratislav Petrovic
Pages: 414 - 427
This study proposes implementation of Boolean consistent fuzzy inference system for credit scoring purposes. Fuzzy inference system (FIS) allows domain experts to express their knowledge in the form of fuzzy rules, which enables combination of automatic rating with human judgment. Crucial for this model...
Ao Zhang, Xianwen Gao
Pages: 428 - 437
A novel approach is proposed to complete the fault diagnosis of pumping systems automatically. Fast Discrete Curvelet Transform is firstly adopted to extract features of dynamometer cards that sampled from sucker rod pumping systems, then a sparse multi-graph regularized extreme learning machine algorithm...
Fan Dong, Jie Lu, Guangquan Zhang, Kan Li
Pages: 438 - 450
The concept drift problem is a pervasive phenomenon in real-world data stream applications. It makes well-trained static learning models lose accuracy and become outdated as time goes by. The existence of different types of concept drift makes it more difficult for learning algorithms to track. This...