Journal of Intelligent & Fuzzy Systems - Volume 39, issue 3

Authors: Tao, Ran | Xiao, Fuyuan

Article Type: Research Article

Abstract: Group multi-criteria decision-making (GMCDM) is an important part of decision theory, which is aimed to assess alternatives according to multiple criteria by collecting the wisdom of experts. However, in the process of evaluating, because of the limitation of human knowledge and the complexity of problems, an efficient GMCDM approach under uncertain environment still need to be further explored. Thus, in this paper, a novel GMCDM approach with linguistic Z-numbers based on TOPSIS and Choquet integral is proposed. Firstly, since linguistic Z-numbers performs better in coping with uncertain information, it is used to express the evaluation information. Secondly, TOPSIS, one of …the most useful and systematic multi-criteria decision-making (MCDM) method, is adopted as the framework of the proposed approach. Thirdly, frequently it exists interaction between criteria, so Choquet integral is introduced to capture this kind of influence. What’s more, viewing that decision makers (DMs) show different preferences for uncertainty, the risk preference is regarded as a vital parameter when calculating the score of linguistic Z-numbers. An application in supplier selection is illustrated to demonstrate the effectiveness of the proposed approach. Finally, a further comparison and discussion of the proposed GMCDM method is given. Show more

Keywords: Group multi-criteria decision-making, linguistic Z-numbers, Choquet integral, TOPSIS, risk preference

DOI: 10.3233/JIFS-200318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4285-4298, 2020

Authors: Hu, Kuang-Hua | Lin, Sin-Jin | Hsu, Ming-Fu | Chen, Fu-Hsiang

Article Type: Research Article

Abstract: This study introduces a dynamic decision architecture that involves three steps for corporate performance forecasting as such bad performance has been widely recognized as the main trigger for a financial crisis. Step-1: performance evaluation and integration; Step-2: forecasting model construction; and Step-3: knowledge generation. First, the decision making trial and evaluation laboratory (DEMATEL) is incorporated with balanced scorecards (BSC) to discover the complicated/intertwined relationships among BSC’s four perspectives. To overcome the problem of BSC that cannot yield a specific direction, the study then employs data envelopment analysis (DEA). Apart from previous studies that utilize an all embracing one-stage model, this …set-up extends it to a two-stage model that calculates the performance scores for each BSC perspective. By doing so, users can realize a company’s weaknesses and strengths and identify possible paths toward efficiency. VIKOR is subsequently used to summarize all scores into a synthesized one. Second, the analyzed outcomes are then fed into random vector functional-link (RVFL) networks to establish the forecasting model. To handle the opaque nature of RVFL, the instance learning method is conducted to extract the implicit decision logics. Finally, the introduced architecture, tested by real cases, offers a promising alternative for performance evaluation and forecasting. Show more

Keywords: Artificial intelligence, decision-making, performance evaluation

DOI: 10.3233/JIFS-200322

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4299-4311, 2020

Authors: Sweatha, A. Anjalin | Pitchai, K. Mohaideen

Article Type: Research Article

Abstract: In cryptography the block ciphers are the mostly used symmetric algorithms. In the existing system the standard S-Box of Advanced Encryption Standard(AES) is performed using the irreducible polynomial equation in table form known as look-up tables(LUTs). For more security purposes, second-order reversible cellular automata based S-box is created. The security aspects of the S-Box used in the AES algorithm are evaluated using cryptographic properties like Strict Avalanche Criteria, Non-Linearity, Entropy, and Common Immunity Bias. The design of S-Box using second-order reversible Cellular Automata is better concerning security and dynamic aspect as compared to the classical S-boxes used Advanced Encryption Standard.

Keywords: Look-up tables, cellular automata, classical S-Box

DOI: 10.3233/JIFS-200326

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4313-4318, 2020

Authors: Zhou, Haibo | Zhang, Chaolong | Tan, Shuaixia | Dai, Yu | Duan, Ji’an | Abdul, Ibrahim Ahmed

Article Type: Research Article

Abstract: The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator …are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results. Show more

Keywords: Interval type-2 fuzzy control, proportional-integral (PI) control, fuzzy operator, analytical structure, variable gains

DOI: 10.3233/JIFS-200334

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4319-4329, 2020

Authors: Liu, Baoliang | Zhang, Zhiqiang | Wen, Yanqing | Kang, Shugui | Guo, Yanxin | Qiu, Qingan

Article Type: Research Article

Abstract: Reliability analysis of complex systems subject to competing failure processes based on probability theory has received increasing attention. However, in many situations, the observed data is too limited to estimate the parameters and probability distributions of the system by statistic methods. To address this problem, an uncertain degradation models is proposed in this paper under the framework of uncertainty theory. Based on this model, a complex system which is subject to both continuous internal degradation and external shocks is introduced. The continuous internal degradation of the system is controlled by some uncertain factors, and the external shocks are deemed to …an uncertain renewal reward process. Reliability for the complex systems is obtained by employing the uncertainty theory. Finally, a case study is presented to demonstrate the effectiveness of the results obtained in the paper. Show more

Keywords: Competing failure processes, reliability, uncertainty theory, uncertain variable, uncertain distribution

DOI: 10.3233/JIFS-200343

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4331-4339, 2020

Authors: Wang, Jun Tao | Borzooei, R. A. | Aaly Kologani, M.

Article Type: Research Article

Abstract: In this paper, we characterize the algebraic structure of hoops via stabilizers. First, we further study left and right stabilizers in hoops and discuss the relationship between them. Then, we characterize some special classes of hoops, for example, Wajsberg hoops, local hoops, Gödel hoops and stabilizer hoops, in terms of stabilizers. Finally, we further determine the relationship between stabilizers and filters in hoops and obtain some improvement results. This results also give answer to open problem, which was proposed in [Stabilizers in MTL-algebras, Journal of Intelligent and Fuzzy Systems, 35 (2018) 717-727]. These results will provide a more general algebraic …foundation for consequence connectives in fuzzy logic based on continuous t-norms. Show more

Keywords: 03G25, 13B30, Logical algebra, hoop, stabilizer, sub-summand, Wajsberg hoops, Gödel hoops

DOI: 10.3233/JIFS-200345

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4341-4348, 2020

Authors: Rezaei, Kamran | Rezaei, Hassan

Article Type: Research Article

Abstract: The hesitant fuzzy sets (HFSs) are an extension of the classical fuzzy sets. The membership degree of each element in a hesitant fuzzy set can be a set of possible values in the interval [0,1]. On the other hand, distance and similarity measures are important tools in several applications such as pattern recognition, clustering, medical diagnosis, etc. Hence, numerous studies have focused on investigating distance and similarity measures for HFSs. In this paper, some improved distance and similarity measures are introduced for the HFSs, considering the variation range as a hesitance degree for these sets. Comparing the proposed measures to …some available distance and similarity measures indicated the better results of the proposed measures. Finally, the application of the proposed measures was investigated in the clustering. Show more

Keywords: hesitant fuzzy set, distance measure, similarity measure, pattern recognition, clustering

DOI: 10.3233/JIFS-200364

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4349-4360, 2020

Authors: Karthik, G.M. | Sayeekumar, M. | Kumaravel, R. | Aravind, T.

Article Type: Research Article

Abstract: The main challenge of problem lies in the perception of Cognitive Radio technology is to discover licensed empty spectrum pattern. The efficient model is needed for allocation among licensed and unlicensed users in wireless spectrum to improve the extraction rate and collision rate. To discover the spectrum hole in spectrum paging bands, stirred by FP mining technique proposed an efficient enumeration approach, namely Constraint Based Frequent Periodic Pattern Mining (CBFPP). The proposed algorithm uses TRIE-like data structure with data mining constraints. CBFPP algorithm predicts periodic spectrum occupancy holes in the paging bands. It is shown that CBFPP has a …high prediction accuracy with reasonable time complexity. Experiment with synthetic and real data validate higher prediction accuracy and with reasonable time complexities. The unlicensed user utilizes the predicted spectrum pattern in spectrum usage of channel without significant interference to licensed users. Show more

Keywords: Cognitive radio, data mining, frequent pattern, spectrum occupancy prediction

DOI: 10.3233/JIFS-200368

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4361-4368, 2020

Authors: Zhang, Xinrui | Sun, Bingzhen | Chen, Xiangtang | Chu, Xiaoli | Yang, Jianan

Article Type: Research Article

Abstract: Companies are attaching more and more importance to sustainable supply chain management (SSCM) as which makes the right strategy measures for companies. Due to the complexity of external environmental factors and internal structure, sustainable supply chain management is vulnerable to various risks. The purpose of this paper is to present a new two-stage approach for determining the best practitioner in Iran Pars Special Economic Energy Zone based on the sustainable supply chain risk management (SSCRM). The best and worst method (BWM) is used to determine the weight of risk factors. Then the method of linguistic value soft set is used …to assess the impact of risk factors on each company’s sustainable supply chain which is a multiple attribute decision making problem with language preference in the second stage. Consequently, the ranking results of sustainable supply chain of each enterprise are obtained. This study contributes to finding the key risk factors of SSCRM. Evaluating these companies SSCRM with preference information, the best practitioner can obtain. The combination of BWM and linguistic value soft set approach provides a new nonparametric theoretical method and tool for this kind of decision-making problems with this background. At the same time, the conclusions of this study have guiding significance for the implementation of industrial supply chain. Limitations of the study along with future research directions are also presented. Show more

Keywords: Sustainable, supply chain risk management, BWM, linguistic value soft set

DOI: 10.3233/JIFS-200372

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4369-4382, 2020

Authors: Gao, Lunshan

Article Type: Research Article

Abstract: Standard quadratic optimization problems (StQPs) are NP-hard in computational complexity theory when the matrix is indefinite. This paper describes an approximate algorithm of finding inner optimal values of StQPs. The approximate algorithm fuzzifies variable x  ∈ R n with normalized possibility distributions and simplifies the solving of StQPs. The approximation ratio is discussed and determined. Numerical results show that (1) the new algorithm achieves higher accuracy than the semidefinite programming method and linear programming approximation method; (2) the novel algorithm consumes less than one out of fourth computational time that is consumed by linear programming approximation method; (3) the …computational time of the new algorithm does not correlate with the matrix densities whereas the computational times of the branch-and-bound and heuristic algorithms do. Show more

Keywords: Standard quadratic optimization problem, approximation ratio, fuzzification, triangular fuzzy number, normalized possibility distribution

DOI: 10.3233/JIFS-200374

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4383-4392, 2020