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...
Qiuxiang Zhou, Yucheng Dong, Hengjie Zhang, Yuan Gao
Pages: 451 - 468
Personalized individual semantics (PIS) is not unusual in our daily life, and it has an important influence on the final decision results in linguistic decision making. The analytic hierarchy process (AHP) has now become a popular decision tool because of its sound mathematical design and ease of applicability...
Guotao Xie, Hongbo Gao, Bin Huang, Lijun Qian, Jianqiang Wang
Pages: 469 - 482
It is necessary for automated vehicles (AVs) and advanced driver assistance systems (ADASs) to have a better understanding of the traffic environment including driving behaviors. This study aims to build a driving behavior awareness (DBA) model that can infer driving behaviors such as lane change. In...
Yuexuan Wang, Yucheng Dong, Hengjie Zhang, Yuan Gao
Pages: 496 - 513
Personalized individual semantics (PIS) exist widely in our daily life, and it means that different people have different understandings regarding the same word. In decision making, decision makers are accustomed to express their preferences using a linguistic way, and it is naturally that the PIS will...
Salatiel Ezennaya-Gomez, Christian Borgelt
Pages: 526 - 539
In previous work we presented CoCoNAD (Continuous-time Closed Neuron Assembly Detection), a method to find significant synchronous patterns in parallel point processes with the goal to analyze parallel neural spike trains in neurobiology. A drawback of CoCoNAD and its accompanying methodology of pattern...
Alain Guerrero-Enamorado, Carlos Morell, Sebastián Ventura
Pages: 540 - 559
Multi-objective evolutionary algorithms have been criticized when they are applied to classification rule mining, and, more specifically, in the optimization of more than two objectives due to their computational complexity. It is known that a multi-objective space is much richer to be explored than...
Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du
Pages: 575 - 590
With explosive growth of the astronomical data, astronomy has become a representative data-rich discipline so as to defy traditional research methodologies and paradigm to analyze data and discover new knowledge from the data. How to effectively process and analyze the astronomical data is a fundamental...
Xiaoyan Cai, Junwei Han, Shirui Pan, Libin Yang
Pages: 591 - 599
Fast-growing scientific papers bring the problem of rapidly and accurately finding a list of reference papers for a given manuscript. Reference paper recommendation is an essential technology to overcome this obstacle. In this paper, we study the problem of personalized query-focused astronomy reference...
Xiaoli Wang, Bharadwaj Veeravalli, Omer F. Rana
Pages: 600 - 607
The Sloan Digital Sky Survey (SDSS) has been one of the most successful sky surveys in the history of astronomy. To map the universe, SDSS uses their telescopes to take pictures of the sky over the whole survey area. Now the total SDSS data volume is larger than 125 TB since every night telescopes produce...
J.P. Córdova Barbosa, S.G. Navarro Jiménez, J.C. Ramírez Vélez
Pages: 608 - 615
In this work we present the results for the automatic determination of the mean longitudinal magnetic field in polarized stellar spectra through the analysis of spectropolarimetric observations. In order to determine this important parameter, we first developed a synthetic database encompassing a set...
Jiuxin Cao, Ziqing Zhu, Liang Shi, Bo Liu, Zhuo Ma
Pages: 618 - 633
As a new type of heterogeneous social network, Event-Based Social Network (EBSN) has experienced rapid development after its appearance. In EBSN, the interaction data between users and events is relatively sparse because of the short life cycle of events, which brings great challenges to event recommendation....
YongHeng Chen, ChunYan Yin, YaoJin Lin, Wanli Zuo
Pages: 634 - 651
As the rapid booming of reviews, a valid sentiment analysis model will significantly boost the review recommendation system’s capability, and present more constructive information for consumers. Topic probabilistic models have already shown many advantages for detecting potential structure of topics...
Xiaodan Xu, Huawen Liu, Li Li, Minghai Yao
Pages: 652 - 662
Outlier detection is a hot topic in machine learning. With the newly emerging technologies and diverse applications, the interest of outlier detection is increasing greatly. Recently, a significant number of outlier detection methods have been witnessed and successfully applied in a wide range of fields,...
Ahmet Çalık, Nimet Yapıcı Pehlivan, Turan Paksoy, Gerhard Wilhelm Weber
Pages: 672 - 691
In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC...
Kin-Ming Lo, Wei-Ying Yi, Pak-Kan Wong, Kwong-Sak Leung, Yee Leung, Sui-Tung Mak
Pages: 692 - 705
Multiple Traveling Salesman Problem (MTSP) is able to model and solve various real-life applications such as multiple scheduling, multiple vehicle routing and multiple path planning problems, etc. While Traveling Salesman Problem (TSP) focuses on searching a path of minimum traveling distance to visit...
June Liu, Yuxin Fan, Zhong Chen, Yue Zheng
Pages: 725 - 736
Bilevel optimization are often addressed in an organizational hierarchy in which the upper level decision maker is the leader and the lower level decision maker is the follower. The leader frequently cannot obtain complete information from the follower. As a result, the leader most tends to be risk-averse,...
Peixin Hou, Jiguang Yue, Hao Deng, Shuguang Liu, Qiang Sun
Pages: 737 - 756
This study addresses the construction of Takagi-Sugeno-Kang (TSK) fuzzy models by means of clustering. A contribution-factor based fuzzy min-max neural network (CFMN) is developed based on Simpson’s well-known fuzzy min-max neural network (FMNN) for clustering. The contribution-factor (CF) is also known...
A. Naresh Kumar, M. Chakravarthy
Pages: 757 - 769
The faults occurring in different phases at multiple locations and different times are difficult to locate exact location using conventional techniques. This paper develops a fault location estimation approach using fuzzy inference system for multi location phase to ground faults and transforming phase...
Ali Medjghou, Mouna Ghanai, Kheireddine Chafaa
Pages: 770 - 789
In this study, an optimized extended Kalman filter (EKF), and an interval type-2 fuzzy sliding mode control (IT2FSMC) in presence of uncertainties and disturbances are presented for robotic manipulators. The main contribution is the proposal of a novel application of Biogeography-Based Optimization (BBO)...
Hamed Piroozfard, Kuan Yew Wong, Manoj Kumar Tiwari
Pages: 805 - 829
New environmental regulations have driven companies to adopt low-carbon manufacturing. This research is aimed at considering carbon dioxide in the operational decision level where limited studies can be found, especially in the scheduling area. In particular, the purpose of this research is to simultaneously...
Chien-Lung Chan, Chia-Li Chen, Hsien-Wei Ting, Dinh-Van Phan
Pages: 873 - 881
Logarithm Least-Squares Support Vector Regression (LLS-SVR) has been applied in addressing forecasting problems in various fields, including bioinformatics, financial time series, electronics, plastic injection moulding, Chemistry and cost estimations. Cautious Random Particle Swarm Optimization (CRPSO)...
Wei Zhang, Yun Yang, Xiao Liu, Cheng Zhang, Xuejun Li, Rongbin Xu, Futian Wang, Muhammad Ali Babar
Pages: 894 - 910
Delays often occur during some activities in software development projects. Without handling of project delays effectively, many software development projects fail to meet their deadlines. If extra employees with same or similar skills and domain knowledge can be rescheduled for the remaining activities...
Anahita Namvar, Mohammad Siami, Fethi Rabhi, Mohsen Naderpour
Pages: 925 - 935
Credit risk prediction is an effective way of evaluating whether a potential borrower will repay a loan, particularly in peer-to-peer lending where class imbalance problems are prevalent. However, few credit risk prediction models for social lending consider imbalanced data and, further, the best resampling...
Atilla Özgür, Fatih Nar, Hamit Erdem
Pages: 962 - 978
In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which base classifiers votes according to assigned weights is formed. These assigned weights...
Gholamreza Nazmara, Mohammad Mehdi Fateh, Seyed Mohammad Ahmadi
Pages: 979 - 990
This paper aims at developing a voltage-based impedance model-reference controller using fuzzy uncertainty estimator for the robust control of electrically driven robot manipulators. The proposed control scheme not only utilizes a desired impedance as a reference model, but also provides the integrated...
Sovan Samanta, Biswajit Sarkar
Pages: 1005 - 1015
Generalized fuzzy graphs are perfect to represent any system like networks, images, scheduling, etc. compared to fuzzy graphs. This study introduces the concept of a generalized fuzzy neighbourhood of a vertex and generalized fuzzy graphs. Also, an associated graph, called minimal graphs of competition...
Chih-Ming Hsu
Pages: 1016 - 1029
In the field of financial investment, investing in stocks is relatively easy compared to other investment commodities, since making a profit through buying a stock at a low price and selling it at a higher price is intuitive. However, it is really challenging work for an investor to choose stocks which...
Jiajie Liu, Weiping Wang, Xiaobo Li, Tao Wang, Senyang Bai, Yanfeng Wang
Pages: 1067 - 1081
Restricted communication in unmanned aerial vehicle (UAV) swarms means that configuration needs to vary dynamically with changing tasks. We propose a mission planning model that uses a motif, a grouping of related functions, as the basic task unit. The planning model automatically generates a mission...
Lin-Huan Hu, Chih-Fu Cheng, Jei-Zheng Wu
Pages: 1082 - 1090
This study determined the aspects required to professionalize volleyball, by analyzing the literature and interviewing 11 experts and scholars. The criteria of assessments were set, and the strategies of promotion were delivered. We discovered the points of view on the professionalization of volleyball...
Yi Yang, Zhen-Song Chen, Yue-Hua Chen, Kwai-Sang Chin
Pages: 1091 - 1110
Interval-valued Pythagorean fuzzy sets (PFSs), as an extension of PFSs, have strong potential in the management of complex uncertainty in real-world applications. This study aims to develop several interval valued Pythagorean fuzzy Frank power (IVPFFP) aggregation operators with an adjustable parameter...
Lu Wang, Keyun Qin
Pages: 1111 - 1122
The stability and robustness analysis is a vital issue of fuzzy soft inference. In this paper, λ - Triple I inference methods based on the fuzzy soft modus ponens (FSMP) and fuzzy soft modus tollens (FSMT) are presented. The related computational formulas for inference conclusions with respect to the...
Chunli Xie, Yuchao Wang, John MacIntyre, Muhammad Sheikh, Mustafa Elkady
Pages: 1142 - 1152
This paper proposes using engine’s sensors data flow and exhaust emissions information to diagnose engine’s faults, enhancing the accuracy of fault diagnosis. Engine fault diagnosis model is built using both this information and the mature BP neural network and genetic algorithms. In order to verify...
Yamilis Fernández Pérez, Carlos Cruz Corona, José Luis Verdegay
Pages: 1170 - 1178
Software products quality assessment is a highly complex process, given the variety of criteria to consider. For a better understanding, they are organized in so-called software quality models. An important aspect of these models is their structural complexity, forming a hierarchical structure. At present,...
Ignacio Martín, Andrea Mariello, Roberto Battiti, José Alberto Hernández
Pages: 1192 - 1209
The explosion of the Internet has deeply affected the labour market. Identifying most rewarded and demanded items in job offers is key for recruiters and candidates. This work analyses 4,000 job offers from a Spanish IT recruitment portal. We conclude that(1) experience is more rewarded than education,...
Chubato Wondaferaw Yohannese, Tianrui Li, Kamal Bashir
Pages: 1229 - 1247
Software Fault Prediction (SFP) research has made enormous endeavor to accurately predict fault proneness of software modules, thus maximize precious software test resources, reduce maintenance cost and contributes to produce quality software products. In this regard, Machine Learning (ML) has been...
Zikrija Avdagic, Vedad Letic, Dusanka Boskovic, Aida Saracevic
Pages: 1248 - 1267
The aim of this research is to automate an analysis of the EGFR gene as a whole, and especially an analysis of those exons with clinically identified microdeletion mutations which are recorded with non-mutated nucleotides in a long chains of a, c, t, g nucleotides, and “-“ (microdeletion) in the...
Miriam Seoane Santos, Pedro Henriques Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Læncina
Pages: 1278 - 1293
Brain-Computer Interface systems based on motor imagery are able to identify an individual’s intent to initiate control through the classification of encephalography patterns. Correctly classifying such patterns is instrumental and strongly depends in a robust machine learning block that is able...
Jonathan Prieto-Cubides, Camilo Argoty
Pages: 1307 - 1321
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of missing values on categorical databases using the framework of rough set theory....
Alireza Balavand, Ali Husseinzadeh Kashan, Abbas Saghaei
Pages: 1322 - 1337
Cluster Validity Indices (CVI) evaluate the efficiency of a clustering algorithm and Data Envelopment Analysis (DEA) eval-uate the efficiency of Decision-Making Units (DMUs) using a number of inputs data and outputs data. Combination of the CVI and DEA inspired the development of a new automatic clustering...