Pythagorean m-polar fuzzy topology with TOPSIS approach in exploring most effectual method for curing from COVID-19

Naeem, Khalid; Riaz, Muhammad; Peng, Xindong; Afzal, Deeba

doi:10.1142/s1793524520500758

Cited by 17 publications

(14 citation statements)

References 36 publications

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“…The authors proposed a rescue framework for the transfusion of the best convalescent plasma (CP) to the most critical patients while considering ML and MADM, which can greatly assist the health sector when such decisions are to be made. Another study 67 discussed exploring the most efficient method for surviving COVID‐19 in addition to medical treatments. For this purpose, the authors introduced a novel concept of the MADM technique and explored the most effective alternative cure for COVID‐19, which is undoubtedly based on the theory and work they applied.…”

Section: Literature Review Analysismentioning

confidence: 99%

“…The devastating effect of the COVID‐19 pandemic has created an unprecedented situation that needs a professional decision support system that can effectively handle the related issues mentioned in Table 1 . The result of this review revealed 13 extensions of existing methods, namely, LBWA–MACBETH–RAFSI, 49 PmF‐TOPSIS, 67 WASPAS, 95 AHP‐Entropy‐TOPSIS‐GRA, 78 distance measure for IFSs, 59 LHF‐BWM‐TODIM, 96 BBWM with improved matter‐element extension model (BBWM‐IMEEM), 90 cross‐entropy of UPLZs‐MULTIMOORA, 74 Entropy‐F‐VIKOR, 89 FAHP‐HFS‐TOPSIS, 80 HF‐divergence measure‐HF‐ARAS, 76 TrIT2F‐BWM‐VIKOR, 72 and IF‐MARCOS. 92 These methods mainly focus on handling the inaccuracies and uncertainties (vagueness issue) mentioned in Table 1 .…”

Section: Literature Review Analysismentioning

confidence: 99%

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Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Alsalem

Mohammed²,

Albahri

et al. 2021

Int J of Intelligent Sys

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Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and health sectors are incapable of making fast and reliable decisions, particularly given the various effects of decisions on different contexts or countries across multiple sectors. Therefore, leaders often seek decision support approaches to assist them in such scenarios. The most common decision support approach used in this regard is multiattribute decision‐making (MADM). MADM can assist in enforcing the most ideal decision in the best way possible when fed with the appropriate evaluation criteria and aspects. MADM also has been of great aid to practitioners during the COVID‐19 pandemic. Moreover, MADM shows resilience in mitigating consequences in health sectors and other fields. Therefore, this study aims to analyse the rise of MADM techniques in combating COVID‐19 by presenting a systematic literature review of the state‐of‐the‐art COVID‐19 applications. Articles on related topics were searched in four major databases, namely, Web of Science, IEEE Xplore, ScienceDirect, and Scopus, from the beginning of the pandemic in 2019 to April 2021. Articles were selected on the basis of the inclusion and exclusion criteria for the identified systematic review protocol, and a total of 51 articles were obtained after screening and filtering. All these articles were formed into a coherent taxonomy to describe the corresponding current standpoints in the literature. This taxonomy was drawn on the basis of four major categories, namely, medical ( n = 30), social ( n = 4), economic ( n = 13) and technological ( n = 4). Deep analysis for each category was performed in terms of several aspects, including issues and challenges encountered, contributions, data set, evaluation criteria, MADM techniques, evaluation and validation and bibliography analysis. This study emphasised the current standpoint and opportunities for MADM in the midst of the COVID‐19 pandemic and promoted additional efforts towards understanding and providing new potential future directions to fulfil the needs of this study field.

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Section: Literature Review Analysismentioning

confidence: 99%

Section: Literature Review Analysismentioning

confidence: 99%

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Alsalem

Mohammed²,

Albahri

et al. 2021

Int J of Intelligent Sys

View full text Add to dashboard Cite

show abstract

“…e determined alternative scheme should be located at the shortest geometric distance from the optimal scheme and the longest geometric distance from the worst scheme [30]. As a multicriteria decision analysis method, TOPSIS has been successfully applied to industrial technology [31,32], computer science [33][34][35], medical problems [36], applied statistics [37][38][39][40], environmental protection [41,42], and other fields.…”

Section: Topsis Methodmentioning

confidence: 99%

Cognitive Matching of Design Subjects in Product Form Evolutionary Design

Zhang

Wang

Zhou

et al. 2021

Computational Intelligence and Neuroscience

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In actual product development, the cognitive differences between users and designers make it difficult for the designed products to be recognized by users. To reduce the cognitive differences between these two design subjects, this paper proposes a method of cognitive matching of the design subjects. First, we use the relevant methods of Kansei engineering to quantify the Kansei image cognition of the two design subjects and construct a cognitive matching model of the design subjects with information entropy and the technique for order preference by similarity to ideal solution (TOPSIS). Second, according to the Kansei image, the Kansei image prototype cluster is constructed, and the representative Kansei image prototype is obtained. Then, we combine an artificial neural network (ANN) with a cognitive matching model of the design subjects to construct a product Kansei image evaluation system; this is used to evaluate the evolved forms. Finally, a product Kansei image form evolution system is constructed based on the genetic algorithm (GA). To some extent, the system simulates the cognitive matching process between designers and users in product design, helps designers to more accurately understand the cognitive trends of the two design subjects, and provides a theoretical basis for the intelligent design of product forms through the cognitive balance of multiple design subjects. This paper takes a beverage bottle as an example to verify the feasibility of the model through a comparative study.

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“…Ashraf et al, 16 introduced the technique for emergency response using spherical intelligent fuzzy decision process to diagnose COVID‐19. Naeem et al, 17 proposed the Pythagorean m‐polar fuzzy topology based TOPSIS approach to explore the most effectual method for curing from COVID‐19.…”

Section: Introductionmentioning

confidence: 99%

Hospital admission and care of COVID‐19 patients problem based on spherical hesitant fuzzy decision support system

et al. 2021

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The emergency response to the health care management in the hospital do not have enough systems for providing medical service to the COVID19 patients (e.g., scheduled or nonemergency). Therefore, in this paper, we developed an emergency decision support model for consideration of patients care and admission scheduling (PCAS). The complex decision support model assigns a set of patients into a number of restricted resources like rooms, time slots, and beds depending on satisfying a number of predefined constraints such as disease severity, waiting time, and disease types. This is a crucial issue with multi‐criteria decision making (MCDM). In this paper, we first begin an assessment into the admission and care to tackle this issue and collect four factors effecting the admission and care of COVID‐19 patients that form a system of criteria. While there is a lot of vague and uncertain data that can be effectively depicted for these indicators by the spherical hesitant fuzzy set, then, we implement a strong MCDM method based on list of aggregation operators to address the patients' hospital admission and care. Last of all, a numerical real‐life application about PCAS is provided to demonstrate the validity of the proposed approaches along with relevant discussions, the merits of proposed approaches are also analyzed by validity test. The proposed methodology has been shown to help hospitals manage the admissions and care of COVID‐19 patients in a flexible manner.

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Pythagorean m-polar fuzzy topology with TOPSIS approach in exploring most effectual method for curing from COVID-19

Cited by 17 publications

References 36 publications

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Cognitive Matching of Design Subjects in Product Form Evolutionary Design

Hospital admission and care of COVID‐19 patients problem based on spherical hesitant fuzzy decision support system

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