Journal of Intelligent & Fuzzy Systems - Volume 46, issue 2

Authors: Yue, Qi | Deng, Zhibin | Hu, Bin | Tao, Yuan

Article Type: Research Article

Abstract: The two-sided matching (TSM) decision-making is an interdisciplinary research field encompassing management science, behavioral science, and computer science, which are widely applied in various industries and everyday life, generating significant economic and social value. However, in the decision-making process of real-world TSM, the complexity of the decision-making problem and environment lead to the preference information provided by the two-sided agents being ambiguous and uncertain. The purpose of this study is to develop a new fair and stable matching methodology to resolve the TSM problem with multiple hesitant fuzzy element (HFE) information. The decision-making process is as follows. First, the TSM …problem with four kinds of HFEs is described. To solve this problem, the HFE value of each index is normalized and then is transformed into the closeness degree by using the bidirectional projection technology. Second, based on the closeness degree, the weight of each index is calculated by using the Critic method. Then, the agent satisfaction is obtained by aggregating the closeness and the weights. Next, a fair and stable TSM model to maximizing agent satisfactions under the constraints of one-to-one stable matching is constructed. The best TSM scheme can be obtained by solving the TSM model. Finally, an example of logistics technology cooperation is provided to verify the effectiveness and feasibility of the presented model and methodology. The proposed methodology develops a novel fuzzy information presentation tool and constructs a TSM model considering the fairness and stability, which is of great significance to investigate the TSM decision-making and the resolution of real-life TSM problems under the uncertain and fuzzy environments. One future research direction is to consider multiple psychological and behavioral factors of two-sided agents in TSM problems. Show more

Keywords: Two-sided matching, fairness and stability, hesitant fuzzy element (HFE), bidirectional projection technology, critic, multiobjective programming model

DOI: 10.3233/JIFS-232520

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3045-3069, 2024

Authors: Nasef, Mohammed M. | El Kafrawy, Passent M. | Hashim, Amal

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Abstract: This article has been retracted.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-223804

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3071-3083, 2024

Authors: Nghiem, Thi Bich Ha | Chu, Ta-Chung

Article Type: Research Article

Abstract: Selecting a sustainable facility location is a crucial strategy for manufacturing companies to achieve long-term success in today’s competitive environment. Various quantitative and qualitative criteria with different importance in a multiple level structure must be considered and aggregated to assist the company in decision-making. How to determine these criteria weights and select the sustainable manufacturing facility locations have become research questions. To resolve this problem, this paper proposes a total distance ranking approach to fuzzy analytic hierarchical process (AHP)-based multiple criteria decision-making (MCDM) method. Currently, the membership functions of fuzzy weighted ratings in the MCDM with a multilevel structure cannot …be developed. A ranking method is needed to defuzzify those fuzzy numbers used for fuzzy AHP and qualitative criteria in the MCDM for better executing decision-making procedure. The total distance ranking method related to the centroid on x-axis, centroid on y-axis and the distances of centroids point to the two tangent lines of a fuzzy number are considered in the proposed ranking approach. Formulas of the proposed approach will be presented, and some properties will be investigated to derive formulas for trapezoidal and triangular fuzzy numbers. A comparison with relevant ranking methods will be made to show the advantages of the proposed ranking approach. The proposed ranking approach is then applied to defuzzify the fuzzy numbers used in fuzzy AHP and linguistic values under qualitative criteria to obtain the criteria weights under multi-level structure and crisp values under qualitative criteria, respectively. The final scores of alternatives can be obtained by aggregating crisp criteria values and their corresponding weights by simple additive weighting method to obtain the ranking result. A numerical example will be conducted to show the effectiveness of the proposed model. Finally, a comparison with Best-Worst method (BWM) will be presented to show the persuasiveness of the proposed method. Show more

Keywords: Total distance, tangent line, fuzzy AHP, MCDM, sustainable manufacturing facility location

DOI: 10.3233/JIFS-223962

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3085-3115, 2024

Authors: Li, Wenjuan | Yi, Xiduo

Article Type: Research Article

Abstract: Under the rapid process of urbanization, many early renovated urban villages have also encountered many problems. Due to the rapid development of urban construction and the continuous changes in spatial functions, early renovated urban villages have already encountered problems such as unreasonable commercial distribution, lack of parking spaces, reduced commercial vitality, and commercial activities crowding out affecting the normal lives of villagers. There is a serious contradiction between the need for development and the quality of life of villagers. Due to the fixed nature of architectural space, only by fully understanding the essential morphological characteristics of the space can we …find the optimal solutions for different space usage functions, and obtain the matching of the optimal solutions in the existing space requirements. The social ecological evaluation of the spatial form of old urban blocks is a multi-attribute group decision making (MAGDM). Recently, the grey relational analysis (GRA) and CRITIC method has been used to cope with MAGDM issues. The dual probabilistic linguistic term sets (DPLTSs) are used as a tool for characterizing uncertain information during the social ecological evaluation of the spatial form of old urban blocks. In this manuscript, the dual probabilistic linguistic GRA (DPL-GRA) method is built to solve the MAGDM under DPLTSs. The CRITIC method is used to obtain the attributes weights. In the end, a numerical case study for social ecological evaluation of the spatial form of old urban blocks is given to validate the proposed method. Show more

Keywords: Multi-attribute group decision making (MAGDM), dual probabilistic linguistic term sets, GRA, CRITIC, social ecological evaluation

DOI: 10.3233/JIFS-233165

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3117-3127, 2024

Authors: Dhanyashree, | Meera, K.N. | Broumi, Said

Article Type: Research Article

Abstract: An L  (p 1 ,  p 2 ,  p 3 ,   … ,  p m )- labeling of a graph G , has the vertices of G assigned with non-negative integers, such that the vertices at distance j should have at least p j as their label difference. If m  = 3 and p 1  = 3,  p 2  = 2,  p 3  = 1, it is called an L  (3,  2,  1)-labeling which is widely studied in the literature. In this paper, we define an L  (3,  2,  1)-path coloring of G as a labeling g  : V  (G …) → Z + such that between every pair of vertices there exists at least one path P where in the labeling restricted to this path is an L  (3,  2,  1)-labeling. Among the labels assigned to any vertex of G under g , the maximum label is called the span of g . The L  (3,  2,  1)-connection number of a graph G , denoted by k 3c  (G ) is defined as the minimum value of span of g taken over all such labelings g . We call graphs with the special property that k 3c  (G ) = |V  (G ) | as L  (3,  2,  1)-path graceful. In this paper, we obtain k 3c  (G ) of graphs that possess a Hamiltonian path and carry forward the discussion to certain classes of graphs which do not possess a Hamiltonian path, which is novel to this paper. Although different kinds of labeling are studied in the literature with different mathematical constraints imposed, the idea of showing the existence of a graph with a given number as its minimum labeling number has rarely been addressed. We show that given any positive integer, there always exists an L  (3,  2,  1)-path graceful graph with the given integer as its k 3c  (G ), thus addressing the inverse question. Finally exploiting the fact that there is no gap on the k 3c  (G ) number line, we give an application of path colorings for secure communication on social networking sites. Efforts to deploy graph coloring in task scheduling, interference-free transmission, etc have been dealt by earlier researchers. In this paper, we deploy the L  (3,  2,  1)-path coloring technique defined by us for secure communication in social networks, which has not been dealt with so far. Show more

Keywords: Multi level distance labeling, L (h, k)-labeling, L (3,  2,  1)-labeling, path coloring, social networks

DOI: 10.3233/JIFS-222784

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3129-3139, 2024

Authors: Hussain, Abrar | Latif, Sajid | Ullah, Kifayat | Garg, Harish | Al-Quran, Ashraf

Article Type: Research Article

Abstract: Multiple-attribute group decision-making (MAGDM) technique is often used to make decisions when several optimal options are under consideration. It can be difficult to select a reasonable optimal option for the decision maker under consideration of insufficient information. The theory of Hamy mean (HM) operators are used to express correlation among different input arguments and provide a smooth approximation during the decision-making process. Recently, Aczel Alsina aggregating expressions gained a lot of attention from numerous mathematicians under different fuzzy circumstances. This article aims to illustrate the notion of a Pythagorean fuzzy (PyF) set (PyFS) with some restricted constraints, such as a …sum of the square of truth membership value and falsity membership value. We developed a series of new approaches under consideration of the HM tools, including PyF Aczel Alsina Hamy mean (PyFAAHM), and PyF Aczel Alsina weighted Hamy mean (PyFAAWHM) operators. Further, we also extend the theory of Dual Hamy mean (DHM) operators and derived a series of new methodologies such as PyF Aczel Alsina Dual Hamy mean (PyFAADHM) and PyF Aczel Alsina weighted Dual Hamy mean (PyFAAWDHM) operators. To demonstrate the flexibility of our derived approaches, we illustrate an application of a multinational company considering the MAGDM technique. An experimental case study is also illustrated to evaluate a reasonable option from a group of options. We see the advantages and compatibility of our findings by comparing the results of existing approaches with the results of currently discussed methodologies. Show more

Keywords: Pythagorean fuzzy value, operations of Aczel Alsina aggregation expressions, Hamy mean aggregation models, multi-attribute group decision-making system

DOI: 10.3233/JIFS-232691

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3141-3171, 2024

Authors: Xie, 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-233458

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3173-3189, 2024

Authors: Umamaheswaran, S. | Mannar Mannan, J. | Karthick Raghunath, K.M. | Dharmarajlu, Santhi Muttipoll | Anuratha, M.D.

Article Type: Research Article

Abstract: The IoMT (Internet of Medical Things) has allowed for uninterrupted, critical patient observation, improved diagnosis precision, and efficient therapy. However, despite the usefulness of such medical things (devices), they also raise a lot of confidentiality and security issues since they provide potential entry points for hackers to exploit. Therefore, there is a pressing need for a technique for detecting network intrusions that combines precision, flexibility, and consistency. Addressing diverse information sources is challenging for finding negligible intrusions in sophisticated network systems, a core problem for current Intrusion Detection Systems (IDS). In this research, we propose a deep learning-based method for …efficient network IDS in cases when data is unevenly distributed. Therefore, to address the poor identification rate of intrusions, we present a unique CGAN-CNN (Conditional Generative Adversarial Network-Convolutional Neural Network) IDS approach that oversamples from the unbalanced information based on the CGAN paradigm to overcome the functional deterioration induced by such unbalanced data, especially during intrusion detection. In addition, the sub-networks’ critic and generator each get additional constraints as part of the CGAN’s standard operating procedure, which helps to reduce the amount of leeway in the convergence process and speeds up the impact of convergence. To validate the effectiveness of the suggested model, we conducted an investigation using the most contemporary publicly available datasets, namely NIDS (Network Intrusion Detection System), and the CICDDoS2019 (Canadian Institute for Cybersecurity Distributed Denial of Service 2019) dataset from the Canadian Institution for Cybersecurity, and for healthcare-oriented image datasets Kaggle, respectively. The experimental findings validated the superiority of the CGAN-CNN approach described in this research. Notified as more trustworthy indications, F1-score and precision performed at 97.88%, and 97.15%, respectively. Show more

Keywords: Deep learning, IDS, dataset, balancing, attacking, intrusions, generator, discriminator, CGAN, detection, evaluation

DOI: 10.3233/JIFS-233649

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3191-3207, 2024

Authors: Aruna Sri, P. | Santhi, V.

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-232891

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3209-3229, 2024

Authors: Jeya Sutha, M. | Ramesh Dhanaseelan, F. | Felix Nes Mabel, M. | Vijumon, V.T.

Article Type: Research Article

Abstract: Association rule mining (ARM) is an important research issue in the field of data mining that aims to find relations among different items in binary databases. The conventional ARM algorithms consider the frequency of the items in binary databases, which is not sufficient for real time applications. In this paper, a novel hash table based Type-2 fuzzy mining algorithm (T2FM) with an efficient pruning strategy is presented for discovering multiple fuzzy frequent itemsets from quantitative databases. The algorithm employs a hash table based structure for efficient storage and retrieval of item/itemset which reduces the search efficiency to O(1) or constant …time. Previously, type-2 based Apriori and FP-growth based fuzzy frequent itemsets mining were proposed, which required large amounts of computation and a greater number of candidate generation and processing. Meanwhile, the proposed approach reduces a huge amount of computation by finding the common keys before the actual intersection operation takes place. An efficient pruning strategy is proposed to avoid unpromising candidates in order to speed up the computations. Several experiments are carried out to verify the efficiency of the approach in terms of runtime and memory for different minimum support threshold and the results show that the designed approach provides better performance compared to the state-of-the-art algorithms. Show more

Keywords: Data mining, type-2 fuzzy set, quantitative dataset, fuzzy frequent itemsets, multiple linguistic terms

DOI: 10.3233/JIFS-232918

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3231-3244, 2024