Site selection of nursing homes based on interval type-2 fuzzy AHP, CRITIC and improved TOPSIS methods

For the 5G-R wireless communication system of the next-generation high-speed railway, there is a problem of single algorithm consideration when handover is carried out. In high-speed environment, it is easily affected by handover risk, which leads to the problem of low handover success. To solve the above problems, this study proposed a next-generation high-speed railway handover decision algorithm, which is based on improved Criteria Importance through Intercrieria Correlation and Technology for Order Preference by Similarity to an Ideal Solution (CRITIC-TOPSIS) theory. Firstly, considering the factors of reference signal receiving power (RSRP), reference signal receiving quality (RSRQ), and co-frequency interference, an improved CRITIC-TOPSIS multi-attribute joint handover decision method is proposed, which overcomes the problem of single consideration of handover. Then, a handover risk assessment model based on prospect theory is constructed, and the handover risks of trains triggered at different positions are analyzed. Finally, the comprehensive utility value of train handover is obtained by normalization, and the optimal handover position is recommended according to the comprehensive utility value, so as to complete the handover. The experimental results show that the success rate of train handover exceeds 99.5% in viaduct, urban area, open area, and mountainous area. In addition, under different operation scenarios, when the train runs at a speed of 200 km/h to 500 km/h, the handover success rate can be between 99.51% and 99.68%. The proposed method can meet the requirement that the success rate of quality of service (QoS) of 5G-R wireless communication system is greater than 99.5%. The research results provide a theoretical reference for the evolution of the next-generation 5G-R high-speed railway system.

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“…Weight W i in formula (9) indicates the importance of attribute j in the multi-attribute decision-making process [19].…”

Section: Improved Critic Objective Weighting Methodmentioning

confidence: 99%

Research on Adaptive Handover Decision Algorithm in Next-Generation High-Speed Railway Scenario

Chen

Kang

Niu

2022

Mobile Information Systems

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“…to determine the significance and impact of each attribute on the overall decision outcome, which considers the fluctuation of data to synthesize the weight values of attributes, and helps to reduce the negative impact of the extreme values of weights of individual data within the evaluation system [25]. Recently, CRITIC has been extensively extended to interval-valued intuitionistic fuzzy [26], linguistic Pythagorean fuzzy [23], probabilistic uncertain linguistic [27], Fermatean fuzzy [28], picture fuzzy [29] and type-2 fuzzy [30] environments, as listed in Table 2. Hence, an extension of the CRITIC method with the cloud model is still missing.…”

Section: Motivation For Developing a Cloud Model-based Critic-edasmentioning

confidence: 99%

“…Fuzzy sets Supplier selection [16] Probabilistic hesitant fuzzy sets Selection of commercial vehicles and green suppliers [20] Q-rung orthopair fuzzy sets Supplier selection in the defense industry [24] Linguistic intuitionistic fuzzy sets Selection of houses and travel destinations [21] Picture fuzzy soft sets Robotic agrifarming [24] Interval-type 2 fuzzy sets Route selection of petroleum transportation [30] 1.…”

Section: Environments Applications Referencementioning

confidence: 99%

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

Li,

Sun

2024

Water

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Modern marine ranching construction has drawn growing attention of relevant planning authorities and enterprises with the potential value of oceans becoming apparent. To satisfy the demand for a successful marine ranching construction, site selection is considered as the first and fundamental procedure. This work aims to help planning authorities find the optimal marine ranching site by introducing a methodological evaluation framework for solving this critical problem. Firstly, the advanced CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is extended by using a cloud model to determine the relative importance of attributes in marine ranching site selection problems. Secondly, the Evaluation based on Distance from Average Solution (EDAS) method is developed by integration with the cloud model to obtain the ranks of alternative sites for marine ranching construction. The proposed cloud model-based CRITIC-EDAS method considers the fuzziness and randomness of the linguistic terms given by experts simultaneously to ensure the scientificity and rationality of decision making. Finally, a real-world marine ranching site selection problem is solved by using the proposed model, where the efficiency and reliability of the proposed model are verified according to the comparison with other traditional multi-attribute decision-making methods.

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“…Chen [21] constructed a general airport site selection evaluation model based on the TOPSIS method. Zhang [22] provided a multi-criteria decision-making method based on Interval 2 Fuzzy Sets (IT2FS). It obtains comprehensive weights through the AHP method and the CRITIC method.…”

Section: Introductionmentioning

confidence: 99%

AG600 Maritime Base Location Decision Based on the Interval Intuitionistic Fuzzy TOPSIS Method

Wei

Wang

et al. 2022

IEEE Access

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Aiming at the location research blank of the AG600 amphibious aircraft marine rescue base, the location decision index system of the AG600 is established, and the AG600 location decision model based on the interval intuitionistic fuzzy theory and improved TOPSIS method is constructed. Through investigation and statistical analysis, the evaluation system with 10 indices is determined based on applicability, safety, and accessibility, and in the process of quantization of index assignment, a fuzzy conversion method for different indices is proposed. The interval intuitionistic fuzzy number of each index is obtained by combining objective calculation and subjective assignment, and the interval intuitionistic fuzzy decision matrix is constructed. The fuzzy entropy method is used to calculate the index weight, and then the improved Technique for Order of Preference by Similarity (TOPSIS) is used to evaluate and rank the rescue bases. The scientific and reasonable location decision results are obtained. Finally, taking the South China Sea islands as an example, the correctness and reliability of the proposed model is verified by comparison with the calculation results of the score function method and the projection method.INDEX TERMS AG600 amphibious aircraft, interval intuitionistic fuzzy TOPSIS, location decision, marine rescue base.

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Site selection of nursing homes based on interval type-2 fuzzy AHP, CRITIC and improved TOPSIS methods

Cited by 12 publications

References 39 publications

Research on Adaptive Handover Decision Algorithm in Next-Generation High-Speed Railway Scenario

Research on Adaptive Handover Decision Algorithm in Next-Generation High-Speed Railway Scenario

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

AG600 Maritime Base Location Decision Based on the Interval Intuitionistic Fuzzy TOPSIS Method

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