International Journal of Computational Intelligence Systems

Latest Articles

Research Article

Specific Types of q-Rung Picture Fuzzy Yager Aggregation Operators for Decision-Making

Peide Liu, Gulfam Shahzadi, Muhammad Akram
In Press, Uncorrected Proof, Available Online: 1 August 2020
q-rung picture fuzzy sets can handle complex fuzzy and impression information by changing a parameter q based on the different hesitation degree, and Yager operator is a useful aggregation technology that can control the uncertainty of valuating data from some experts and thus get intensive information...
Research Article

Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy

A. Haiter Lenin, S. Mary Vasanthi, T. Jayasree
In Press, Uncorrected Proof, Available Online: 31 July 2020
This paper presents a novel framework that automatically classifies hand grasps using Electromyogram (EMG) signals based on advanced Wavelet Transform (WT). This method is motivated by the observation that there lies a unique correlation between different samples of the signal at various frequency levels...
Research Article

Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors

Lucas Maciel, Jônatas Alves, Vinicius Fernandes dos Santos, Loïc Cerf
In Press, Uncorrected Proof, Available Online: 29 July 2020
Fuzzy tensors encode to what extent n-ary predicates are satisfied. The disjunctive box cluster model is a regression model where sub-tensors are explanatory variables for the values in the fuzzy tensor. In this article, locally optimal patterns for that model, with high areas times squared densities,...
Research Article

Computation of Support and Confidence for Interval-Valued Fuzzy Association Rules

Michal Burda, Viktor Pavliska, Petra Murinová
In Press, Uncorrected Proof, Available Online: 29 July 2020
The aim of this paper is to provide an algorithm for the computation of support and confidence of the association rules on interval-valued fuzzy sets. Each element of the interval-valued fuzzy set has a membership degree defined as an interval. In other words, the membership intervals may be interpreted...
Research Article

Teaching Explainable Artificial Intelligence to High School Students

Jose M. Alonso
Volume 13, Issue 1, 2020, Pages 974-987
Artificial Intelligence (AI) is part of our everyday life and has become one of the most outstanding and strategic technologies. Explainable AI (XAI) is expected to endow intelligent systems with fairness, accountability, transparency and explanation ability when interacting with humans. This paper describes...
Research Article

Kernels of Residuated Maps as Complete Congruences in Lattices

Branimir Šešelja, Andreja Tepavčević
Volume 13, Issue 1, 2020, Pages 966-973
In a context of lattice-valued functions (also called lattice-valued fuzzy sets), where the codomain is a complete lattice L, an equivalence relation defined on L by the equality of related cuts is investigated. It is known that this relation is a complete congruence on the join-semilattice reduct of...
Research Article

Classical and Fuzzy Two-Layered Modal Logics for Uncertainty: Translations and Proof-Theory

Paolo Baldi, Petr Cintula, Carles Noguera
Volume 13, Issue 1, 2020, Pages 988-1001
This paper is a contribution to the study of two distinct kinds of logics for modelling uncertainty. Both approaches use logics with a two-layered modal syntax, but while one employs classical logic on both levels and infinitely-many multimodal operators, the other involves a suitable system of fuzzy...
Research Article

Group-Like Uninorms

Sándor Jenei
Volume 13, Issue 1, 2020, Pages 954-965
Uninorms play a prominent role both in the theory and the applications of aggregations and fuzzy logic. In this paper a class of uninorms, called group-like uninorms will be introduced and a complete structural description will be given for a large subclass of them. First, the four versions of a general...
Research Article

Coreference Resolution Using Semantic Features and Fully Connected Neural Network in the Persian Language

Hossein Sahlani, Maryam Hourali, Behrouz Minaei-Bidgoli
Volume 13, Issue 1, 2020, Pages 1002-1013
Coreference resolution is one of the most critical issues in various applications of natural language processing, such as machine translation, sentiment analysis, summarization, etc. In the process of coreference resolution, in this paper, a fully connected neural network approach has been adopted to...
Research Article

Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images

Thavavel Vaiyapuri, Haya Alaskar
Volume 13, Issue 1, 2020, Pages 941-953
Image segmentation plays crucial role in medical image analysis and forms the basis for clinical diagnosis and patient's treatment planning. But the large variation in organ shapes, inhomogeneous intensities, poor contrast, organic nature of textures and complex boundaries in medical images makes...
Research Article

An Integer Cat Swarm Optimization Approach for Energy and Throughput Efficient MPSoC Design

Shahid Ali Murtza, Ayaz Ahmad, Ayaz Ahmad, Muhammad Yasir Qadri, Muhammad Yasir Qadri, Nadia N. Qadri, Nadia N. Qadri, Majed Alhaisoni, Majed Alhaisoni, Sajid Baloch, Sajid Baloch
Volume 13, Issue 1, 2020, Pages 864-874
Modern multicore architectures have an ability to allocate optimum system resources for a specific application to have improved energy and throughput balance. The system resources can be optimized automatically by using optimization algorithms. State-of-the-art using optimization algorithm in the field...
Research Article

A New Hybrid Metaheuristic Algorithm for Multiobjective Optimization Problems

M.A. Farag, A.A. Mousa, M.A. El-Shorbagy, I.M. El-Desoky, A.A. Mousa, I.M. El-Desoky
Volume 13, Issue 1, 2020, Pages 920-940
The elitist nondominated sorting genetic algorithm (NSGA-II) is hybridized with the sine-cosine algorithm (SCA) in this paper to solve multiobjective optimization problems. The proposed hybrid algorithm is named nondominated sorting sine-cosine genetic algorithm (NS-SCGA). The main idea of this algorithm...
Research Article

Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm

Ho Pham Huy Anh, Ho Pham Huy Anh
Volume 13, Issue 1, 2020, Pages 875-892
This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of a Jaya technique over a fuzzy load forecast model....
Research Article

Dose Regulation Model of Norepinephrine Based on LSTM Network and Clustering Analysis in Sepsis

Jingming Liu, Minghui Gong, Wei Guo, Chunping Li, Hui Wang, Shuai Zhang, Christopher Nugent
Volume 13, Issue 1, 2020, Pages 717-726
Sepsis is a life-threatening condition that arises when the body's response to infection causes injury to its own tissues and organs. Despite the advancement of medical diagnosis and treatment technologies, the morbidity and mortality of sepsis are still relatively high. In this paper, a two-layer...
Research Article

An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm

Yu Xianrui, Yu Xiaobing, Li Chenliang, Chen Hong
Volume 13, Issue 1, 2020, Pages 893-903
Recently, a kind of heuristic optimization algorithm named gravitational search algorithm (GSA) has been rapidly developed. In GSA, there are two main parameters that control the search process, namely, the number of applied agents (Kbest) and the gravity constant (G). To balance exploration and exploitation,...
Research Article

Automatic Music Generator Using Recurrent Neural Network

Alexander Agung Santoso Gunawan, Ananda Phan Iman, Derwin Suhartono
Volume 13, Issue 1, 2020, Pages 645-654
In this paper, we developed an automatic music generator with midi as the input file. This study uses long short-term memory (LSTM) and gated recurrent units (GRUs) network to build the generator and evaluator model. First, a midi file is converted into a midi matrix in midi encoding process. Then, each...
Research Article

Accuracy Improvement of Autonomous Straight Take-off, Flying Forward, and Landing of a Drone with Deep Reinforcement Learning

Che-Cheng Chang, Jichiang Tsai, Peng-Chen Lu, Chuan-An Lai
Volume 13, Issue 1, 2020, Pages 914-919
Nowadays, drones are expected to be used in several engineering and safety applications both indoors and outdoors, e.g., exploration, rescue, sport, entertainment, and convenience. Among those applications, it is important to make a drone capable of flying autonomously to carry out an inspection patrol....
Research Article

An Intelligent and Automated Approach for Smart Minimarkets

Talal A. Edwan, Ashraf Tahat, Sara Hammouri, Leen Hashem, Leen Da'boul
Volume 13, Issue 1, 2020, Pages 852-863
This paper presents the design and implementation of a smart and safe minimarket prototype for deployment in busy smart cities to mitigate the overhead of shopping experience. The prototype allows customers to remotely access and browse the available products at the minimarket using a special smart-phone...
Research Article

A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm

Ivona Brajević, Predrag S. Stanimirović, Shuai Li, Xinwei Cao
Volume 13, Issue 1, 2020, Pages 810-821
Many hard optimization problems have been efficiently solved by two notable swarm intelligence algorithms, artificial bee colony (ABC) and firefly algorithm (FA). In this paper, a collaborative hybrid algorithm based on firefly and multi-strategy artificial bee colony, abbreviated as FA-MABC, is proposed...
Research Article

Group Decision-Making Using Complex q-Rung Orthopair Fuzzy Bonferroni Mean

Peide Liu, Zeeshan Ali, Tahir Mahmood, Nasruddin Hassan
Volume 13, Issue 1, 2020, Pages 822-851
Complex q-rung orthopair fuzzy set (CQROFS), as a modified notion of complex fuzzy set (CFS), is an important tool to cope with awkward and complicated information. CQROFS contains two functions which are called truth grade and falsity grade by the form of complex numbers belonging to unit disc in a...
Research Article

VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images

Shanchen Pang, Fan Meng, Xun Wang, Jianmin Wang, Tao Song, Xingguang Wang, Xiaochun Cheng
Volume 13, Issue 1, 2020, Pages 771-780
Lung cancer is known as the highest mortality rate cancer, which needs biopsy to determine its subtype for further treatment. Recently, deep learning has provided powerful tools in lung cancer diagnose and therapeutic regimen making. However, it is still a challenge to identify the pathological type...
Research Article

New Kind of MV-Modules

S. Saidi Goraghani, R.A. Borzooei, S.S. Ahn, Y.B. Jun
Volume 13, Issue 1, 2020, Pages 794-801
In this paper, by considering the notion of MV-modules, which is the structure that naturally correspond to lu-modules over lu-rings, we investigate some properties of a new kind of MV-modules, that we introduced in Borzooei and Saidi Goraghani, Free MV-modules, J. Intell. Fuzzy Syst. 31 (2016), 151–161...
Research Article

A Human-Machine Language Dictionary

Fei Liu, Shirin Akther Khanam, Yi-Ping Phoebe Chen
Volume 13, Issue 1, 2020, Pages 904-913
In this paper, we propose a framework for building a human-machine language dictionary. Given a concept/word, an application can extract the definition of the concept from the dictionary, and consequently “understand” its meaning. In the dictionary, a concept is defined through its relations with other...
Research Article

An Efficient Clustering Algorithm for Mixed Dataset of Postoperative Surgical Records

Hemant Petwal, Rinkle Rani
Volume 13, Issue 1, 2020, Pages 757-770
In data mining, data clustering is a prevalent data analysis methodology that organizes unlabeled data points into distinct clusters based on a similarity measure. In recent years, several clustering algorithms found, dependent on a predefined number of clusters and centered around the dataset with either...
Research Article

Using Recurrent Neural Networks for Part-of-Speech Tagging and Subject and Predicate Classification in a Sentence

David Muñoz-Valero, Luis Rodriguez-Benitez, Luis Rodriguez-Benitez, Luis Jimenez-Linares, Luis Jimenez-Linares, Juan Moreno-Garcia, Juan Moreno-Garcia
Volume 13, Issue 1, 2020, Pages 706-716
In natural language processing the use of deep learning techniques is very common. In this paper, a technique to identify the subject and predicate in a sentence is introduced. To achieve this, the proposed technique completes POS tagging identifying in a later stage the subject and the predicate in...