Applications of probabilistic hesitant fuzzy rough set in decision support system

J Ambient Intell Human Comput

Shams

et al. 2021

Self Cite

The emergency situation of COVID-19 is a very important problem for emergency decision support systems. Control of the spread of COVID-19 in emergency situations across the world is a challenge and therefore the aim of this study is to propose a q-linear Diophantine fuzzy decision-making model for the control and diagnose COVID19. Basically, the paper includes three main parts for the achievement of appropriate and accurate measures to address the situation of emergency decision-making. First, we propose a novel generalization of Pythagorean fuzzy set, q-rung orthopair fuzzy set and linear Diophantine fuzzy set, called q-linear Diophantine fuzzy set (q-LDFS) and also discussed their important properties. In addition, aggregation operators play an effective role in aggregating uncertainty in decision-making problems. Therefore, algebraic norms based on certain operating laws for q-LDFSs are established. In the second part of the paper, we propose series of averaging and geometric aggregation operators based on defined operating laws under q-LDFS. The final part of the paper consists of two ranking algorithms based on proposed aggregation operators to address the emergency situation of COVID-19 under q-linear Diophantine fuzzy information. In addition, the numerical case study of the novel carnivorous (COVID-19) situation is provided as an application for emergency decision-making based on the proposed algorithms. Results explore the effectiveness of our proposed methodologies and provide accurate emergency measures to address the global uncertainty of COVID-19.

Section: Introductionmentioning

confidence: 99%

A new approach to q-linear Diophantine fuzzy emergency decision support system for COVID19

Almagrabi

J Ambient Intell Human Comput

Shams

et al. 2021

Self Cite

“…Khan et al. ( 2020 ) discussed the applications of probabilistic hesitant fuzzy rough set in decision aid system. Afterwards, Liao and Xu ( 2014 ) recognized the ideas of HFHAA operator, HFHAG operator, quasi-HFHAA operator, and quasi-HFHAG operator, and recognized some of their properties.…”

Section: Introductionmentioning

confidence: 99%

“…By means of hesitant fuzzy set (HFS), many writers determined problems by aggregating the operators in group decision-making (Liu and Sun 2013;Xia and Xu 2011;Yu et al 2011;Zhang 2013). Khan et al (2020) discussed the applications of probabilistic hesitant fuzzy rough set in decision aid system. Afterwards, Liao and Xu (2014) recognized the ideas of HFHAA operator, HFHAG operator, quasi-HFHAA operator, and quasi-HFHAG operator, and recognized some of their properties.…”

Section: Introductionmentioning

confidence: 99%

EDAS method for decision support modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information

Batool

Abosuliman

J Ambient Intell Human Comput

et al. 2021

Self Cite

The significance of emergency decision-making (EmDM) has been experienced recently due to the continuous occurrence of various emergency situations that have caused significant social and monetary misfortunes. EmDM assumes a manageable role when it is important to moderate property and live misfortunes and to reduce the negative effects on the social and natural turn of events. Genuine world EmDM issues are usually described as complex, time-consuming, lack of data, and the effect of mental practices that make it a challenging task for decision-makers. This article shows the need to manage the various types of vulnerabilities and to monitor practices to resolve these concerns. In clinical analysis, how to select an ideal drug from certain drugs with efficacy values for coronavirus disease has become a common problem these days. To address this issue, we are establishing a multi-attribute decision-making approach (MADMap) based on the EDAS method under Pythagorean probabilistic hesitant fuzzy information. In addition, an algorithm is developed to address the uncertainty in the selection of drugs in EmDM issues with regards to clinical analysis. The actual contextual analysis of the selection of the appropriate drug to treat coronavirus ailment is utilized to show the practicality of our proposed technique. Finally, with the help of a comparative analysis of the TOPSIS technique, we demonstrate the efficiency and applicability of the established methodology.

“…Xia and Xu [ 53 ] developed the novel aggregation information to tackle the uncertainty in DMPs. Khan et al [ 54 ] discussed the applications of probabilistic hesitant fuzzy rough set in decision aid system. Afterwards, Khan et al [ 55 ] recognized the idea of Pythagorean HFS (PyHFS).…”

Section: Introductionmentioning

confidence: 99%

A Decision Support Model for Hotel Recommendation Based on the Online Consumer Reviews Using Logarithmic Spherical Hesitant Fuzzy Information

Khan

Abosuliman

et al. 2021

Entropy

Self Cite

Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness information. Technique of Aggregation is one of the beneficial tools to aggregate the information. It has many crucial application areas such as decision-making, data mining, medical diagnosis, and pattern recognition. Keeping in view the importance of logarithmic function and aggregation operators, we proposed a novel algorithm to tackle the multi-attribute decision-making (MADM) problems. First, novel logarithmic operational laws are developed based on the logarithmic, t-norm, and t-conorm functions. Using these operational laws, we developed a list of logarithmic spherical hesitant fuzzy weighted averaging/geometric aggregation operators to aggregate the spherical hesitant fuzzy information. Furthermore, we developed the spherical hesitant fuzzy entropy to determine the unknown attribute weight information. Finally, the design principles for the spherical hesitant fuzzy decision-making have been developed, and a practical case study of hotel recommendation based on the online consumer reviews has been taken to illustrate the validity and superiority of presented approach. Besides this, a validity test is conducted to reveal the advantages and effectiveness of developed approach. Results indicate that the proposed method is suitable and effective for the decision process to evaluate their best alternative.