International Journal of Computational Intelligence Systems

Articles in Press

3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network

Haisheng Li, Yanping Zheng, Xiaoqun Wu, Qiang Cai
In Press, Uncorrected Proof
Generative adversarial network (GANs) has significant progress in 3D model generation and reconstruction recently years. GANs can generate 3D models by sampling from uniform noise distribution. But they generate randomly and are often not easy to control. To address this problem, we add the class information...

Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS

Xiaobing Yu, Chenliang Li, Hong Chen, Xianrui Yu
In Press, Uncorrected Proof
Now, there are a lot of multiobjective evolutionary algorithms (MOEAs) available and these MOEAs argue that they are competitive. In fact, these results are generally unfair and unfaithful. In order to make fair comparison, comprehensive performance index system is established. The weights among the...

Semi-Automatic Generation of Competency Maps Based on Educational Data Mining

David Alfonso, Angeles Manjarrés, Simon Pickin
In Press, Uncorrected Proof
We propose a semi-automatic method for the generation of educational-competency maps from repositories of multiple-choice question responses, using Bayesian structural learning and data-mining techniques. We tested our method on a large repository of responses to multiple-choice exam questions from an...

Development of a Textile Coding Tag for the Traceability in Textile Supply Chain by Using Pattern Recognition and Robust Deep Learning

Kaichen Wang, Vijay Kumar, Xianyi Zeng, Ludovic Koehl, Xuyuan Tao, Yan Chen
In Press, Uncorrected Proof
The traceability is of paramount importance and considered as a prerequisite for businesses for long-term functioning in today's global supply chain. The implementation of traceability can create visibility by the systematic recall of information related to all processes and logistics movement. The traceability...

The Use of Marketing Decision Support Systems for New Product Design: A Review

J. Francisco Figueroa-Perez, Juan C. Leyva-Lopez, Luis C. Santillan, Edgar O. Pérez Contreras, Pedro J. Sánchez
In Press, Uncorrected Proof
Product design is an important phase of the new product development process and one of the most crucial decisions in marketing. In the latest two decades, a significant number of marketing decision support systems (MDSSs) for automating new product design activities have been reported in the literature...

T-Normed Fuzzy TM-Subalgebra of TM-Algebras

Julie Thomas, K. Indhira, V. M. Chandrasekaran
In Press, Uncorrected Proof
The concept of T-normed fuzzy TM-subalgebras is introduced by applying the notion of t-norm to fuzzy TM-algebra and its properties are investigated. The ideas based on minimum t-norm are generalized to all widely accepted t-norms in a fuzzy TM-subalgebra.The characteristics of an idempotent T-normed...

Attention Pooling-Based Bidirectional GRU Model for Sentimental Classification

Dejun Zhang, Mingbo Hong, Lu Zou, Fei Han, Fazhi He, Zhigang Tu, Yafeng Ren
In Press, Uncorrected Proof
Recurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-term dependencies. Many models have achieved excellent results based...

A Fuzzy-Random Extension of the Lee–Carter Mortality Prediction Model

Jorge de Andrés-Sánchez, Laura González-Vila Puchades
In Press, Uncorrected Proof
The Lee–Carter model is a useful dynamic stochastic model to represent the evolution of central mortality rates throughout time. This model only considers the uncertainty about the coefficient related to the mortality trend over time but not to the age-dependent coefficients. This paper proposes a fuzzy-random...