Journal of Intelligent & Fuzzy Systems - Volume 45, issue 2

Authors: Liu, Yu

Article Type: Research Article

Abstract: The “One Belt and One Road” is a major strategic deployment proposed by Chinese President Xi Jinping in 2013, and it is important to study the construction of green financial system under the “One Belt and One Road” initiative, especially the quality assessment of green finance to promote high-quality economic development along the route. At the same time, green finance and green “Belt and Road” have become a hot academic topic in the world. In this study, firstly, on the basis of the existing research on green finance, focusing on the evaluation of economic quality of green finance, we innovatively …draw on the quality function deployment theory in marketing to logically transform our research ideas and propose a combined comprehensive evaluation method based on the hierarchical analysis (AHP) and entropy method in fuzzy mathematical theory, which makes up for the traditional single fuzzy evaluation method’s influence on the evaluation results. This method makes up for the shortcomings of the traditional single fuzzy evaluation method to evaluate the results of subjective or objective weighting results. In this study, we apply this method to the assessment of the quality of green finance development in “One Belt, One Road”, and it is important that we construct a system of “One Belt, One Road” green finance quality assessment indicators, including one primary indicator, four secondary indicators and 12 tertiary indicators. It is worth noting that our indicator system is different from the traditional quality system of financial quality assessment in that we take green factors into account in the construction of the tertiary indicators, and then use this assessment method to calculate and rank the weights (importance) of the 12 tertiary indicators, taking the actual situation in China as an example. More importantly, our study not only extends the academic research results of economic quality evaluation, but also combines quantitative research with qualitative analysis to propose three targeted countermeasures for the development of green finance in the countries along the Belt and Road. This study can also provide theoretical support for the quality assessment of green finance in countries along the Belt and Road, and promote the high-quality development of green finance in countries along the Belt and Road. Show more

Keywords: Green finance, belt and road, financial quality assessment, quality function deployment theory, hierarchical analysis, entropy method

DOI: 10.3233/JIFS-223257

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3077-3095, 2023

Authors: Jeevitha, Kannan | Garg, Harish | Vimala, Jayakumar | Aljuaid, Hanan | Abdel-Aty, Abdel-Haleem

Article Type: Research Article

Abstract: Digital transformation is the significant phenomena in contemporary global environment. All the conventional fuzzy sets are extended by the Linear Diophantine Fuzzy Set (LDFS). LDFS is the most viable adaptable method for decision makers to choose their grade values as it includes reference parameters. The foremost vision is to promote the resilient integration of Linear Diophantine Multi-Fuzzy Set (LDMFS) as a model for constructing decisions in order to identify the appropriate standards for digital transformation. Aggregation Operators are crucial in fuzzy systems for fusing information. To aggregate the LDMF, a number of operators have been devised, such as the Linear …Diophantine Multi-Fuzzy Weighted Geometric Operator (LDMFWGO), Linear Diophantine Multi-Fuzzy Ordered Weighted Geometric Operator (LDMFOWGO), Linear Diophantine Multi-Fuzzy Weighted Averaging Operator (LDMFWGO) and Linear Diophantine Multi-Fuzzy Ordered Weighted Averaging Operator (LDMFOWAO). By integrating preferred aggregating operations, a novel method for MCDM with LDMF data is studied. The best option from the current alternatives can be determined using these operators. Moreover, a comparison of LDMF operators is made. Additionally, the idea of a scoring function for LDF is designed to examine the rank of viable alternaties. Additionally, a novel approach to solving LDMF sets is suggested. The annals on organisational digital transformation is presented as the final section to test the supremacy of the theory. Accurate rankings for digital transformation are provided by the outcome. To exhibit the robustness of the MCDM methodology, a prompt comparative analysis is established between the suggested concept and the currently used approaches. Show more

Keywords: LDMFWG operator, LDMFWA operator, LDMFWA operator, LDMFOWA operator, LDMFOWG operator, score function, MCDM problem

DOI: 10.3233/JIFS-223844

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3097-3107, 2023

Authors: Xiao, Huimin | Yang, Peng | Ma, Xifeng | Wei, Meng

Article Type: Research Article

Abstract: A decision matrix is typically used to express hesitant information when solving multi-attribute decision problems in an uncertain environment. To further investigate the decision problem, this paper takes the property of matrix rank as the starting point, introduces it into the hesitant fuzzy theory, presents the concept of the rank of the hesitant fuzzy decision matrix and discusses the related properties, and then studies the hesitant fuzzy linear relation, obtaining the attribute reduction method based on the hesitant fuzzy linear relation and applying it to the multi-attribute decision making. It adds to the theoretical understanding of the hesitant fuzzy decision …matrix. The aggregation operator first transforms the hesitant fuzzy information into a comprehensive decision matrix, and the row echelon transformation determines the rank of the matrix. Second, the hesitant fuzzy linear relationship is obtained using the rank property. A new hesitant fuzzy matrix is obtained after attribute reduction based on the hesitant fuzzy linear relationship, and the alternatives are sorted using the TOPSIS method. Finally, the effectiveness and superiority of the proposed method are demonstrated through a comparison of actual case analysis and existing methods, and the expected research purpose is met. Show more

Keywords: Hesitant fuzzy set, hesitant fuzzy decision matrix, rank, attribute reduction

DOI: 10.3233/JIFS-224231

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3109-3121, 2023

Authors: Hu, Nanyan | Li, Xuexue | Li, Yufei | Ye, Yicheng | Wu, Menglong

Article Type: Research Article

Abstract: In order to address the issues of emergency decision-making and optimization (EDMO) of fire accidents in colleges, this paper proposes the EDMO way to take into account the synergies among divergent divisions replacements and the psychology of decision makers (DMs) on the basis of the best-worst method (BWM) and VIKOR within an interval 2-tuple linguistic (ITL) surroundings and cumulative prospect theory (CPT). First, DMs use the ITL to evaluate the degree of synergy among replacements from divergent divisions, the language information can be processed accurately and the information loss can be avoided. Then, the multi-alternative amalgamations consisted of divergent divisions …replacements are built. On the grounds of the DMs’ value assignment, the collaborative decision matrix of multi-alternative amalgamations can be gained. And the optimal weight of the evaluation standards can be computed based on the ITL-BWM method. The CPT is extended into VIKOR to think about the effect of the DMs’ psychological behavior on the decision result. Furthermore, the positive and negative utility matrices can be computed through the value function of CPT. On the grounds of the positive and negative utility matrices, the distance from the utility value of multi-alternative amalgamations to the desired right solution of positive and negative utility can be obtained, and the cumulative foreground value function is used to replace the distance among each replacement to the positive and negative right desired solutions, it can avoid ignoring the effect of the correlations among different attributes on the outcome. Furthermore, the model is applied to the example and an analysis of the sensitivity of the factors of the decision-making mechanism coefficient and the weights of synergistic indicators is carried out to prove the validity and stability of the model. Show more

Keywords: Emergency decision-making and optimization, college fire, interval 2-tuple linguistic, best-worst method, VIKOR

DOI: 10.3233/JIFS-224322

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3123-3136, 2023

Authors: Josephin Shermila, P. | Ahilan, A. | Jasmine Gnana Malar, A. | Jothin, R.

Article Type: Research Article

Abstract: Foods are very essential for living beings for providing energy, development and preserve their existence. It plays a vital role in promoting health and preventing illness. Nowadays, many people are suffered from obesity, they tend to maintain their body weight by consuming a sufficient number of calories in their routine life. In this research, a novel Modified Deep Learning-based Food Item Classification (MDEEPFIC) approach has been proposed to categorize the different food items from the dataset with their calorie values. Initially, the images are processed using the sigmoid stretching method to enhance the image quality and remove the noises. Consequently, …the pre-processed images are segmented using Improved Watershed Segmentation (IWS2) algorithm. Recurrent Neural Network (RNN) is used to extract features like shape, size, textures, and color. The extracted features are then normalized using the modified dragonfly technique for same food calorie calculation. Bidirectional Long Short-Term Memory (Bi-LSTM) is utilized to classify food products based on these pertinent aspects. Finally, using food area volume and calorie and nutrition measures based on mass value, the calorie value of the categorized food item is calculated. The efficiency of the proposed method was calculated in terms of specificity, precision, accuracy, and recall F-measure. The proposed method improves the overall accuracy of 4.99%, 8.72%, and 10.4% better than existing Deep Convolution Neural Network (DCNN), Faster Recurrent convolution neural network (FRCNN), Local Variation Segmentation based Support Vector Machine (LSV-SVM) method respectively. Show more

Keywords: Food, bidirectional long short-term memory, improved watershed, recurrent neural network, dragon fly algorithm

DOI: 10.3233/JIFS-230193

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3137-3148, 2023

Authors: Fang, Chang | Chen, Yu | Wang, Yi | Wang, Weizhong | Yu, Qianping

Article Type: Research Article

Abstract: The Fine-Kinney (F-K) model has been broadly employed for evaluating and ranking risk in various fields. The risk scoring information expression and priority ranking are two significant operations for its application. Numerous approaches have been extended to the two operations to improve the performance of conventional Fine-Kinney for risk analysis. Nevertheless, current literature on the F-K framework seldom considers the collective and individual risk attitudes in ranking potential hazards, especially with Fermatean fuzzy-based -risk scoring information. This paper generates a new ranking approach for risk prioritization in F-K to fulfill this gap by integrating the Fermatean fuzzy sets with the …GLDS (gained and lost dominance score) method. First, the Fermatean fuzzy sets-based risk scale is introduced to acquire risk scores. Then, a new collective risk scoring matrix establishment approach based on Fermatean fuzzy Bonferroni mean (BM) operator is built for considering the interactive effects between experts. Next, an extended Fermatean fuzzy GLDS method with CRITIC (Criteria Importance Through Inter-criteria Correlation)is proposed to rank the potential hazards, in which the Fermatean fuzzy CRITIC method is adopted to determine the weights. Especially, this developed weighting method can depict the inter-correlation among risk parameters. Finally, this paper presents a risk evaluation case of professional hazards for construction operations to display the application and advantages of this improved hybrid risk ranking model in the F-K framework. The result reveals that the enhanced framework can effectively rank potential hazards with complex risk information. Show more

Keywords: Fine-Kinney, fermatean fuzzy set, risk prioritization, GLDS approach, CRITIC

DOI: 10.3233/JIFS-230423

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3149-3163, 2023

Authors: Liang, Bingjie | Bi, Jun | Ran, Bin

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433 .

DOI: 10.3233/JIFS-231253

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3165-3179, 2023

Authors: Wang, Ji | Xu, Chunming

Article Type: Research Article

Abstract: This paper explores the issue of patent race in which 5G enterprises invest the patent package in the field of new spectrum to research and develop some core technologies. Based on the comprehensive interaction of expected profit, investment risk, and withdrawal cost, this paper aims to achieve the two objectives of maximizing the profit and minimizing the investment risk for a lagging firm. By numerical experiment analysis, the optimal portfolio strategy of a lagging firm is obtained, followed by the phenomenon in patent race of investment disinvestment. The result shows that the lagging firm can focus on certain self-interested technologies …to realize the leap of key technologies in research and development (R&D) under the high degree selection condition independently. In addition, different initial investment shares affect the portfolio strategy. Show more

Keywords: Patent race, lagging firms, new spectrum, portfolio strategy, R&D

DOI: 10.3233/JIFS-223463

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3181-3200, 2023

Authors: Angel Sajani, J. | Ahilan, A.

Article Type: Research Article

Abstract: Brain diseases is a wide range of disorders and diseases that affect the brain. They can change a person’s behavior, personality, and capacity for thought and function. CT images are more essential than conventional clinical tests for detecting brain hemorrhage accurately. MRI images of the brain can reveal even small abnormalities in the cranial region, helping providers diagnose a wide variety of conditions, ranging from brain stroke, cancers, aneurysms, and Alzheimer’s. This paper proposes a novel Fused dual neural (FDN) network for detecting brain cancer, stroke, aneurysms, and Alzheimer using Brain Medical Images (BMI) the combination of MRI and CT. …In BMI, the adaptive bilateral filter reduces noise artifacts. Google Net is used to extract features from pre-processed MRI images, and Mobile Net is used to extract features from pre-processed CT images. The integration of extracted features from Google Net and Mobile Net is fused by the Wrapper method. Finally, the Deep Belief Network is employed for classifying brain stroke, cancer, Aneurysm, and Alzheimer’s diseases using BMI images. The quantitative analysis of the suggested method is determined using the parameters like specificity, recall, precision, F1 score, and accuracy. The proposed FDN achieves a high classification accuracy rate of 98.19%, 97.68%, 94.31%, and 93.82% for detecting stroke, cancer, Aneurysm, and Alzheimer respectively. The proposed FDN model improves the overall accuracy by 5.35%, 3.14%, 9.48%, 5.33%, and 0.55% better than Faster R-CNN, CNN, Inception-V3, DCNN, and Fine-tuning Network respectively. Show more

Keywords: Brain disease, classification, Google Net, mobile net, deep belief network, deep learning

DOI: 10.3233/JIFS-230090

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3201-3211, 2023

Authors: Ren, Weijia | Du, Yuhong | Sun, Ronglu | Du, Yuqin | Lü, Mubo

Article Type: Research Article

Abstract: To improve the accuracy of decision results in complex fuzzy environments, complex cubic fuzzy sets are studied, which can not only measure the periodicity of decision-making data, but also use interval values and single values to act together on the data. However, the fuzzy sets do not provide a reasonable explanation for some special cases of input arguments. Thus, the power average operator is used to eliminate the influence of extreme input arguments on decision results, and the Maclaurin symmetric mean operator considers the correlation between inputs in this paper. Firstly, we define the operation rules, distance measures, evaluation index …function, and evaluation criteria in a complex cubic q -rung orthopair fuzzy environment. Then, some aggregation operators are proposed to aggregate complex cubic q -rung orthopair fuzzy numbers, and their desirable properties and some special cases are discussed. Next, we use the subjective and objective fusion method to determine the weight of attributes. Further, a multi-attribute decision-making method is established by combining aggregation operator, evaluation function, and weight determination method. Finally, the proposed method is applied to a specific quality evaluation problem, and the effectiveness and practicability of the proposed method are illustrated by other methods and parameter analysis. Show more

Keywords: Complex cubic fuzzy set, aggregation operator, multi-attribute group decision-making, application

DOI: 10.3233/JIFS-230402

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3213-3231, 2023