Journal of Intelligent & Fuzzy Systems - Volume 41, issue 1

Authors: Nandal, Amita | Blagojevic, Marija | Milosevic, Danijela | Dhaka, Arvind | Mishra, Lakshmi Narayan

Article Type: Research Article

Abstract: This paper proposes a deep learning framework for Covid-19 detection by using chest X-ray images. The proposed method first enhances the image by using fuzzy logic which improvises the pixel intensity and suppresses background noise. This improvement enhances the X-ray image quality which is generally not performed in conventional methods. The pre-processing image enhancement is achieved by modeling the fuzzy membership function in terms of intensity and noise threshold. After this enhancement we use a block based method which divides the image into smooth and detailed regions which forms a feature set for feature extraction. After feature extraction we insert …a hashing layer after fully connected layer in the neural network. This hash layer is advantageous in terms of improving the overall accuracy by computing the feature distances effectively. We have used a regularization parameter which minimizes the feature distance between similar samples and maximizes the feature distance between dissimilar samples. Finally, classification is done for detection of Covid-19 infection. The simulation results present a comparison of proposed model with existing methods in terms of some well-known performance indices. Various performance metrics have been analysed such as Overall Accuracy, F-measure, specificity, sensitivity and kappa statistics with values 93.53%, 93.23%, 92.74%, 92.02% and 88.70% respectively for 20:80 training to testing sample ratios; 93.84%, 93.53%, 93.04%, 92.33%, and 91.01% respectively for 50:50 training to testing sample ratios; 95.68%, 95.37%, 94.87%, 94.14%, and 90.74% respectively for 80:20 training to testing sample ratios have been obtained using proposed method and it is observed that the results using proposed method are promising as compared to the conventional methods. Show more

Keywords: Covid-19, deep learning, eucledian distance, fuzzy logic, negative likelihood, hashing and machine learning

DOI: 10.3233/JIFS-210222

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1341-1351, 2021

Authors: Yang, Lehua | Li, Dongmei | Tan, Ruipu

Article Type: Research Article

Abstract: Solving the shortest path problem is very difficult in situations such as emergency rescue after a typhoon: road-damage caused by a typhoon causes the weight of the rescue path to be uncertain and impossible to represent using single, precise numbers. In such uncertain environments, neutrosophic numbers can express the edge distance more effectively: membership in a neutrosophic set has different degrees of truth, indeterminacy, and falsity. This paper proposes a shortest path solution method for interval-valued neutrosophic graphs using the particle swarm optimization algorithm. Furthermore, by comparing the proposed algorithm with the Dijkstra, Bellman, and ant colony algorithms, potential shortcomings …and advantages of the proposed method are deeply explored, and its effectiveness is verified. Sensitivity analysis performed using a 2020 typhoon as a case study is presented, as well as an investigation on the efficiency of the algorithm under different parameter settings to determine the most reasonable settings. Particle swarm optimization is a promising method for dealing with neutrosophic graphs and thus with uncertain real-world situations. Show more

Keywords: Interval-valued neutrosophic numbers, neutrosophic graph, particle swarm optimization algorithm, shortest path problem

DOI: 10.3233/JIFS-210233

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1353-1373, 2021

Authors: Yu, Xiaobing | Liu, Zhenjie | Wu, XueJing | Wang, Xuming

Article Type: Research Article

Abstract: Differential evolution (DE) is one of the most effective ways to solve global optimization problems. However, considering the traditional DE has lower search efficiency and easily traps into local optimum, a novel DE variant named hybrid DE and simulated annealing (SA) algorithm for global optimization (HDESA) is proposed in this paper. This algorithm introduces the concept of “ranking” into the mutation operation of DE and adds the idea of SA to the selection operation. The former is to improve the exploitation ability and increase the search efficiency, and the latter is to enhance the exploration ability and prevent the algorithm …from trapping into the local optimal state. Therefore, a better balance can be achieved. The experimental results and analysis have shown its better or at least equivalent performance on the exploitation and exploration capability for a set of 24 benchmark functions. It is simple but efficient. Show more

Keywords: Differential evolution, simulated annealing, ranking, mutation operator, selection operator

DOI: 10.3233/JIFS-210239

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1375-1391, 2021

Authors: Al-shami, Tareq M. | Alshammari, Ibtesam | El-Shafei, Mohammed E.

Article Type: Research Article

Abstract: In 1982, Pawlak proposed the concept of rough sets as a novel mathematical tool to address the issues of vagueness and uncertain knowledge. Topological concepts and results are close to the concepts and results in rough set theory; therefore, some researchers have investigated topological aspects and their applications in rough set theory. In this discussion, we study further properties of N j -neighborhoods; especially, those are related to a topological space. Then, we define new kinds of approximation spaces and establish main properties. Finally, we make some comparisons of the approximations and accuracy measures introduced herein and their counterparts …induced from interior and closure topological operators and E -neighborhoods. Show more

Keywords: Nj-neighborhoods, Ej-neighborhoods, j-neighborhood space, lower and upper approximations, accuracy measure, topological space

DOI: 10.3233/JIFS-210272

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1393-1406, 2021

Authors: Nguyen, Huyen Trang | Chu, Ta-Chung

Article Type: Research Article

Abstract: Understanding employees’ perceptions in team collaboration may help managers select and develop effective teamwork and efficient job completion. Numerous criteria, including qualitative and quantitative, and their importance weights must be considered in evaluating individual diversity perception; therefore, evaluating individual diversity perception is a fuzzy multiple criteria decision-making (MCDM) problem. The purpose of this paper is to use a fuzzy MCDM method to evaluate the personal perception of working in a diverse workgroup. A ranking method using the mean of relative values is proposed to rank the final fuzzy values to complete the model. Formulas of the ranking procedure are derived …to help execute the decision-making procedure and a numerical comparison is conducted to demonstrate the advantage of the proposed ranking method. In addition, a survey about personal diversity perception and willingness to work verifies the feasibility and validity of the proposed mean of relative values based fuzzy MCDM method. The results indicate that decision-makers prefer to work in a different countries-same working field group. More experienced decision-makers, unlike students, prefer to work in the same working sector group. Show more

Keywords: Individual diversity perception, fuzzy MCDM, ranking method, mean of relative values

DOI: 10.3233/JIFS-210291

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1407-1428, 2021

Authors: He, Yan | Wei, Guiwu | Chen, Xudong | Wei, Yu

Article Type: Research Article

Abstract: The financial products selection in the financial services sector is a traditional multi-attribute group decision making (MAGDM) problem. Probabilistic uncertain linguistic sets (PULTSs) could be used to evaluate the financial products with uncertain linguistic terms and corresponding weights (probabilistic). The bidirectional projection (BP) method could take the bidirectional projection values into account. In this paper, we develop an integration model of information entropy and BP method under PULTSs. First of all, utilizing information entropy derives the priority weights of attributes. Next, utilizing the BP method of the PULTSs to obtain the final ranking of the alternatives. To depict the BP …method, the formative vectors of two alternatives are defined, and a weighted vector model and inner product are improved under the PULTSs. In addition, through giving the case of financial products selection and some existing MAGDM methods for comparative analysis, it is proved that the method is practical and effective. The proposed approach also contributes to the effective selection of appropriate options in other decision-making matters. Show more

Keywords: Multi-attribute group decision making (MAGDM), probabilistic uncertain linguistic sets (PULTSs), bidirectional projection (BP) method, information entropy, financial products selection

DOI: 10.3233/JIFS-210313

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1429-1443, 2021

Authors: Botsa, Devaki Rani | Peddi, Phani Bushan Rao | Boddu, Vikas

Article Type: Research Article

Abstract: This paper proposes a new method to rank the parametric form of fuzzy numbers based on defuzzification. The defuzzification process use centroids, value, ambiguity and decision levels on fuzzy number developed from the parametric form of a generalized fuzzy number. The proposed method avoids reducing function to remove lower alpha levels and can overcome the shortcomings in some of the existing fuzzy ranking methods. The proposed method can effectively rank symmetric fuzzy numbers with the same core and different heights, fuzzy numbers with the same support and different cores, crisp numbers, crisp numbers having the same support and different heights, …and fuzzy numbers having compensation of areas. A demonstration of the proposed method through examples and a comparative study with other methods in the literature shows that the proposed method gives effective results. Show more

Keywords: Fuzzy numbers, ranking, value, ambiguity, centroids, decision level

DOI: 10.3233/JIFS-210327

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1445-1459, 2021

Authors: Wang, Lei | Peng, Xindong

Article Type: Research Article

Abstract: It is prominent important for managers to assess the personal risk of mental patients. The evaluation process refers to numerous indexes, and the evaluation values are general portrayed by uncertainty information. In order to conveniently model the complicated uncertainty information in realistic decision making, interval-valued complex Pythagorean fuzzy set is proposed. Firstly, with the aid of Einstein t-norm and t-conorm, four fundamental operations for interval-valued complex Pythagorean fuzzy number (IVCPFN) are constructed along with some operational properties. Subsequently, according to these proposed operations, the weighted average and weighted geometric forms of aggregation operators are initiated for fusing IVCPFNs, and their …anticipated properties are also examined. In addition, a multiple attribute decision making issue is examined under the framework of IVCPFNs when employing the novel suggested operators. Ultimately, an example regarding the assessment on personal risk of mental patients is provided to reveal the practicability of the designed approach, and the attractiveness of our results is further found through comparing with other extant approaches.The main novelty of the coined approach is that it not only can preserve the original assessment information adequately by utilizing the IVCPFNs, but also can aggregate IVCPFNs effectively. Show more

Keywords: Multiple attribute decision making, Einstein operation, interval-valued complex Pythagorean fuzzy number, aggregation operators, personal risk

DOI: 10.3233/JIFS-210352

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1461-1486, 2021

Authors: Tang, Bin | Guo, Shiwei | Yeboah, Mathias | Wang, Zhenhua | Cheng, Song

Article Type: Research Article

Abstract: After sudden outbreak of COVID-19 pandemic, the university campuses were closed and millions of university teachers and students had to shift teaching and learning activities from the classrooms to online courses in China. The COVID-19 pandemic undoubtedly brought significant negative effects to university education activities. How does COVID-19 influenced teaching quality and the degree of influences have been studied by many researches. However, the online course quality which is influences by COVID-19 pandemic was commonly evaluated qualitatively rather than quantitatively. In order to obtain quantitative evaluation results of online course quality during the pandemic period, the integrated FCE-AHP evaluation was …applied. Based on real case of online courses, the influence factors of online course quality were divided into four first-level indicators and further subdivided into 14 second level indicators. The weight vectors of evaluation indicators were determined based on experts’ comments from the Teaching Affairs Committee and the fuzzy evaluation memberships were calculated based on questionnaire results of 2021 students. The evaluation results revealed that the integral performance of online courses is acceptable and the performances of students and hardware are relative weaker. Finally, some improvement measures were conducted to deal with difficulties encountered in online courses during COVID-19 pandemic period. Show more

Keywords: Fuzzy comprehensive evaluation, analytic hierarchy process, COVID-19, online courses, quantitative evaluation

DOI: 10.3233/JIFS-210362

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1487-1498, 2021

Authors: Wang, Qian

Article Type: Research Article

Abstract: With the rapid development of China’s economic globalization in the new era, the demand for English majors is obviously on the rise, which puts forward new and higher requirements for application-oriented undergraduate colleges to train compound English majors. However, from the perspective of teaching quality evaluation of English majors in application-oriented undergraduate colleges, the results are not optimistic. Therefore, it is an important task for higher education research in China to explore the problems existing in the process of teaching quality evaluation for English majors in application-oriented undergraduate colleges and how to better train qualified and versatile talents for English …majors to adapt to the economic and social development in the new era. The teaching quality evaluation of college English is frequently viewed as a multi-attribute group decision-making (MAGDM). Thus, a novel MAGDM method is used to tackle it. Depending on the conventional CODAS method and interval-valued intuitionistic fuzzy sets (IVIFSs), this paper designs a novel distance based IVIF-CODAS method to assess the teaching quality evaluation of college English. First of all, a related literature review is conducted. What’s more, some necessary theories related to IVIFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is decided objectively by utilizing CRITIC method. Afterwards, relying on novel distance measures between IVIFSs, the conventional CODAS method is extended to the IVIFSs to calculate assessment score of every alternative. Therefore, all alternatives can be ranked and the one with the best teaching quality. Eventually, an application about teaching quality evaluation of college English and some comparative methods have been employed to show the superiority of the developed method. The results illustrate that the defined framework is very useful for assessing the teaching quality of college English. Show more

Keywords: MAGDM issues, interval-valued intuitionistic fuzzy sets (IVIFSs), CODAS method, CRITIC method, teaching quality, college English

DOI: 10.3233/JIFS-210366

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1499-1508, 2021