Journal of Intelligent & Fuzzy Systems - Volume 33, issue 2

Authors: Zhang, Yong | Liu, Wenzhe | Ren, Xuezhen | Ren, Yonggong

Article Type: Research Article

Abstract: Data streams with class imbalance occur usually in many real applications. Online sequential learning is one of the effective methods for classifying data stream with class imbalance. This paper proposes a dual-weighted online sequential extreme learning machine (dw-ELM) method to solve it. On the basis of online sequential extreme learning machine, the proposed dw-ELM method analyzes the distribution characteristic of data in view of time and space, and gives an adaptive dual weighting scheme to tune the weights at both the time level and the space level. Extensive experimental evaluations on 10 imbalanced datasets indicate that the proposed dw-ELM method …outperforms several comparing methods in terms of G -mean and F -measure metrics. Moreover, the proposed dw-ELM method remains superior classification performance in the presence of highly dynamic class imbalance. Show more

Keywords: Data stream, extreme learning machine, online learning, weight

DOI: 10.3233/JIFS-16724

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1143-1154, 2017

Authors: Estrella, Francisco J. | Cevik Onar, Sezi | Rodríguez, Rosa M. | Oztaysi, Basar | Martínez, Luis | Kahraman, Cengiz

Article Type: Research Article

Abstract: A technopark is an innovation center created to enhance the collaboration between the university and firms. Due to its benefits many firms would like to be in it, but only a few can be selected. Therefore, it is usually necessary a complex decision analysis process for its selection that implies multiple conflicting criteria assessed under uncertain circumstances because of the imprecision or hesitation shown by the experts involved that generally implies a heterogeneous decision context. To manage such a complexity, this paper proposes a fuzzy TOPSIS multi-criteria decision making method to cope with previous types of uncertainties by using fuzzy …modeling and hesitant fuzzy linguistic term sets that will facilitate the experts elicitation of information in order to obtain accurate, reliable and robust results in the selection process. Eventually, this model will be implemented in a system within FLINTSTONES software for supporting the selection process and applied to a real case study of the Istanbul technical university technopark. A sensitivity analysis is also performed to check the robustness of the given decisions. Show more

Keywords: Hesitant fuzzy linguistic term set, heterogeneous information, technopark, multiple criteria decision making, decision support

DOI: 10.3233/JIFS-16727

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1155-1172, 2017

Authors: Xu, Weijun | Li, Jia | Huang, Shaoying

Article Type: Research Article

Abstract: This paper studies on multiperson decision making (MPDM) problem with five kinds of preference representation structures, namely preference orderings, utility functions, fuzzy preference relations, multiplicative preference relations and linguistic preference relations. We propose a direct consensus framework based on a novel minimum cost consensus model (MCCM) which we extend to solve the consensus problem with multiple alternatives. This framework has two processes: selection process and consensus process. In the selection process, we first use five transformation functions to make the preference representation structures uniform, then standardize the transformed preference information and obtained the collective preference vector. In the consensus process, …we define a consensus measure and design a feedback adjustment based on the extended MCCM to achieve the preset consensus level. This framework first embeds MCCM into a direct consensus framework to solve the MPDM problem with five kinds of preference representation structures including linguistic preference relations. Finally, we provide an example to illustrate the effectiveness of the method, and find out the convergence is fast in the consensus process. Show more

Keywords: Multiperson decision making, preference representation structures, linguistic preference relations, consensus, minimum cost consensus model

DOI: 10.3233/JIFS-16734

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1173-1186, 2017

Authors: Jiang, Mingzuo | Yuan, Xuehai

Article Type: Research Article

Abstract: In this paper, a new fuzzy inference modeling method is proposed for nonlinear systems. A proposed triangular pyramid fuzzy system (TPFS) which is proved to have second-order approximation accuracy is employed in the new modeling method. Based on the interpolation mechanism of TPFS, practical systems (which can be described by a group of fuzzy inference rules) can be converted to a simplified linear model with variable coefficients. Expressions of the time-varying local equations appears significantly simple due to the linearity of the model by using the proposed fuzzy modeling method. The approximation performance superiority of the proposed modeling method is …demonstrated by simulation results. Show more

Keywords: Fuzzy inference, fuzzy systems, universal approximation, nonlinear systems

DOI: 10.3233/JIFS-16824

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1187-1196, 2017

Authors: Lu, Mao | Wei, Guiwu | Alsaadi, Fuad E. | Hayat, Tasawar | Alsaedi, Ahmed

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF replaced with this retraction notice.

Keywords: Multiple attribute decision making (MADM), Bipolar fuzzy set, Bipolar 2-tuple linguistic set, Bipolar 2-tuple linguistic hybrid average (B2TLHA) operator, Bipolar 2-tuple linguistic hybrid geometric (B2TLHG) operator

DOI: 10.3233/JIFS-16946

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1197-1207, 2017

Authors: Taylan, Osman | Zytoon, Mohamed A. | Morfeq, Ali | Al-Hmouz, Rami | Herrera-Viedma, Enrique

Article Type: Research Article

Abstract: Food manufacturing industries have poor occupational safety and health (OSH) performance in many countries. The situation in Saudi Arabia is unknown due to absence of previous studies on the OSH performance of food industry. The current revised Labor Law is expected to dramatically increase workplace inspections by governmental inspectors. Therefore, both the industry and the OSH inspection authority needs to develop an effective decision making approach for improving the performance of companies. The objective of this study is to use quantitative and qualitative data for the assessment of OSH performance and develop a more reliable assessment approach. For the evaluation …of OSH performance of food companies, a set of main and sub-criteria were determined. The quantitative assessments were carried out in accordance with national compliance requirements using a 5-point Likert scale approach. For the qualitative assessment, fuzzy linguistic terms were employed to measure the degree of satisfaction of main and sub-criteria. Two methods; the fuzzy decision tree approach and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) were used for the evaluation and the competitiveness of companies. The fuzzy decision tree approach was used for criteria weight determination, however, the fuzzy TOPSIS approach revealed the best practices regarding OSH for benchmarking, and governmental authorities for managing the regulatory inspections conducted to follow up compliances. Hence, the presented approach was used to rank 21 food enterprises, and it was found that company (x 7 ) is the best in all criteria. The key difference between this company and the other companies is that it showed consistent performance in all criteria, while in the others were found in performance fluctuations and deficiency in some sub-criteria. On the other hand, the quantitative assessment showed that most companies with good score are technically good which indicates that the technologies used are fairly up-to-date which generate less occupational hazards. This leads to the conclusion that the OSH problems in the Saudi food industries are mainly due to managerial deficiencies rather than being financial. The ranking can be used by the food industries for also benchmarking their performance within the context of the food industry sector. The overall aim is to identify the best industrial practices and identify the priorities to help the official bodies for a more effective inspection. Show more

Keywords: Workplace OSH performance assessment, fuzzy decision tree, fuzzy TOPSIS, OSH inspection, food industries

DOI: 10.3233/JIFS-17043

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1209-1224, 2017

Authors: Owolabi, Taoreed O. | Akande, Kabiru O. | Olatunji, Sunday O. | Alqahtani, Abdullah | Aldhafferi, Nahier

Article Type: Research Article

Abstract: Magnetic refrigeration technology (MRT) recently receives significant attention as a result of its environmental friendliness coupled with its superior cooling efficiency in comparison to the ubiquitous compression gas refrigeration system (CGRS). Discovery of manganite-based refrigerants results in lower cost of MRT and increases interest in the implementation of this technology at room temperature. However, the challenge of altering the magnetic ordering temperature (TC ) of manganite based materials for ensuring MRT that operates at room temperature through doping of the parent manganite still remains one of the major setbacks that impede rapid progress in the implementation of this technology due …to its extensive experimental procedures and routines. This present work aims at developing a robust model based on hybridization of neural network trained using sensitivity based linear learning method (SBLLM) and gravitational search algorithm (GSA) for determining the suitable dopant and the concentration that shifts the TC of manganite-based materials to ambient value. The developed SBLLM-GSA model is robust due to its capacity to incorporate up to four different dopants of different concentrations into parent manganite for TC estimation with excellent degree of accuracy. The estimated magnetic ordering temperatures using SBLLM-GSA model were validated with the experimentally measured values and excellent agreement was obtained. Technological implementation of the developed SBLLM-GSA model would definitely promote ambient MRT and significantly reduces the use of the harmful, ozone-depleting CGRS. Show more

Keywords: Magnetic refrigeration technology, magnetic ordering temperature, ionic radii, dopant, gravitational search algorithm, neural network and sensitivity based linear learning method

DOI: 10.3233/JIFS-17057

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1225-1233, 2017

Authors: Bao, Yan-Ling | Yang, Hai-Long

Article Type: Research Article

Abstract: Neutrosophic set (NS) theory was originally established by Smarandache for handling indeterminate and inconsistent information. In this paper, we introduce single valued neutrosophic refined rough sets by combining single valued neutrosophic refined sets with rough sets and further study the hybrid model from two perspectives—constructive viewpoint and axiomatic viewpoint. We also give single valued neutrosophic refined rough sets on two universes and an available algorithm for handling multi-attribute decision making problem based on single valued neutrosophic refined rough sets on two universes. In addition, we illustrate the validity of the single valued neutrosophic refined rough set model by an example.

Keywords: Neutrosophic sets, single valued neutrosophic refined sets, rough sets, single valued neutrosophic refined rough sets, multi-attribute decision making

DOI: 10.3233/JIFS-17094

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1235-1248, 2017

Authors: Hosny, Mona | Raafat, Mahmoud

Article Type: Research Article

Abstract: The main aim of rough multiset is reducing the boundary region and increasing the accuracy measure by increasing the lower approximation and decreasing the upper approximation. So in this paper, a new approach of rough multiset via multiset ideals is proposed to reduce the boundary region and increase the accuracy measure. The concepts of lower and upper multiset approximations via multiset ideals are introduced. In addition, some properties and results of these multiset approximations are studied. The relationships between the current multiset approximations are presented. Moreover, comparisons between the present method and the previous one are presented and shown to …be more general. Furthermore, the multiset topology induced by the current method is finer than the multiset topology induced by the previous methods. The importance of the current paper is not only that it is reducing the boundary region and increasing the accuracy of sets which is the main aim of rough multiset, but also it is introducing an applied example in medical by applying the current method to illustrate the concepts in a friendly way. Show more

Keywords: Multiset, rough multiset, lower multiset approximation, upper multiset approximation

DOI: 10.3233/JIFS-17102

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1249-1261, 2017

Authors: Zhang, Xue-Yang | Wang, Jian-Qiang

Article Type: Research Article

Abstract: This article puts forward a consensus framework for multi-criteria group decision-making (MCGDM) with multi-granular uncertain linguistic information, where different decision-makers employ different linguistic scales to express their opinions on alternatives. In this framework, we first establish a relative projection model for two interval linguistic 2-tuples denoted by linguistic term sets with different granularities, and then extend it to multi-granular interval 2-tuple linguistic matrices. Based on this, the similarity measurement between two individual matrices as well as the consensus degree of an individual matrix to a group one is defined. Furthermore, the similarity degrees are applied to determine the importance weights …of decision-makers. Besides, a concept of acceptable consensus is introduced to assist in devising an iterative procedure for the purpose of promoting the group consensus and reaching a satisfactory agreement. Finally, to demonstrate the validity and advantages of our proposed framework, an illustrative example which has been examined is furnished. Show more

Keywords: MCGDM, Multi-granular uncertain linguistic information, similarity measurement, acceptable consensus, relative projection model

DOI: 10.3233/JIFS-17202

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1263-1274, 2017