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...