A q-rung orthopair basic probability assignment and its application in medical diagnosis

Limboo, Bulendra; Dutta, Palash

doi:10.31181/dmame191221060l

Cited by 21 publications

(16 citation statements)

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“…When x is located to the right of point F, its relative difference function model can be expressed as follows [17]:…”

Section: Determination Of the Relative Membership Degree Ofmentioning

confidence: 99%

“…e concept of fuzzy logic is de ned as the description of imprecision or vagueness, which gives fuzziness a scienti c description and generates great signi cance. So, the entropy weight-variable fuzzy sets are introduced in this study to assess the quality level of pavement performance by accounting for imprecise, vague, and fuzzy information in decision-making [16,17]. For example, Gu et al [18] analyze the risk level of landslide hazards in Shiwangmiao, Chongqing using the intuitionistic fuzzy sets-TOPSIS model, and the selection of a route for the transport of hazardous materials using a fuzzy logic system is performed by Milosevic et al [19].…”

Section: Introductionmentioning

confidence: 99%

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The Quality Assessment of Pavement Performance Using the Entropy Weight-Variable Fuzzy Sets Model

Wang

et al. 2022

Mathematical Problems in Engineering

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As the assessment of pavement performance has considerable repercussions for the construction quality of roads, the study of the assessment procedure used is extremely critical. Riding quality index (RQI), pavement condition index (PCI), pavement structure strength index (PSSI), skid resistance index (SRI), and antirutting index (ARI) are selected as the assessment indexes of pavement performance. Then, the entropy weight-variable fuzzy sets model is introduced. Second, a relative membership degree matrix for the variable fuzzy sets is established, and the entropy weight method is used to determine the weight coefficients considering the uncertainty in the assessment indices. Finally, the quality level of pavement performance is determined by using the mean ranking feature value. The conclusions demonstrate a very accurate rate for the quality assessment of the pavement performance based on the variable fuzzy sets model compared to that based on the current specification, and the proposed method is feasible for the quality assessment of pavement performance, thus providing a novel means of assessing the quality level of pavement performance in the future.

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“…When x is located to the right of point F, its relative difference function model can be expressed as follows [17]:…”

Section: Determination Of the Relative Membership Degree Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Quality Assessment of Pavement Performance Using the Entropy Weight-Variable Fuzzy Sets Model

Wang

et al. 2022

Mathematical Problems in Engineering

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“…As q increases, it is easy to observe that the space of acceptable orthopair membership grade increases. Consequently, the concept of q-ROFSs can effectively manage the complex uncertain MCDA problems (Limboo and Dutta, 2022). Firstly, Yager and Alajlan (2017) conferred the basic properties on "q-rung orthopair fuzzy numbers (q-RONSs)".…”

Section: Q-rofssmentioning

confidence: 99%

A q-rung orthopair fuzzy combined compromise solution approach for selecting sustainable third-party reverse logistics provider

Mishra¹,

Rani

Saha

et al. 2022

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PurposeReverse logistics (RL) is a type of supply chain management that moves goods from the end customer to the original manufacturer for reuse, remanufacturing and disposal purposes. Owing to growing environmental legislations and the development of new technologies in marketing, RL has attracted more significance among experts and academicians. Outsourcing RL practices to third-party reverse logistics provider (3PRLP) has been identified as one of the most important management strategies due to complexity of RL operations and the lack of available resource. Current sustainability trends have made 3PRLP assessment and selection process more complex. In order to select the 3PRLP, the existence of several aspects of sustainability motivates the experts to establish a new multi-criteria decision analysis (MCDA) approach.Design/methodology/approachWith the growing complexity and high uncertainty of decision environments, the preference values of 3PRLPs are not always expressed with real numbers. As the generalized version of fuzzy set, intuitionistic fuzzy set and Fermatean fuzzy set, the theory of q-rung orthopair fuzzy set (q-ROFS) is used to permit decision experts (DEs) to their assessments in a larger space and to better cope with uncertain information. Given that the combined compromise solution (CoCoSo) is an innovative MCDA approach with higher degree of stability and reliability than several existing methods.FindingsTo exhibit the potentiality and applicability of the presented framework, a case study of S3PRLPs assessment is taken from q-rung orthopair fuzzy perspective. The assessment process consists of three sustainability aspects namely economic, environment and social dimensions related with a total of 14 criteria. Further, sensitivity and comparative analyses are made to display the solidity and strength of the presented approach. The results of this study approve that the presented methodology is more stable and efficient in comparison with other methods.Originality/valueThus, the objective of the study is to develop a hybrid decision-making methodology by combining CoCoSo method and discrimination measure with q-ROFS for selecting an appropriate sustainable 3PRLP (S3PRLP) candidate under uncertain environment. In the proposed method, a novel procedure is proposed to obtain the weights of DEs within q-ROFS context. To calculate the criteria weights, a new formula is presented based on discrimination measure, which provides more realistic weights. In this respect, a new discrimination measure is proposed for q-ROFSs.

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“…Thus, the problem of solving reliability is transformed into the problem of solving an interval value range [4]. Although it may cause conflicts in the evidence combination rule, some appropriate methods can avoid this problem [5]. Evidence theory uses probability bounds to reflect confidence in the collective power set of all possible outcomes.…”

Section: Introductionmentioning

confidence: 99%

Structural Interval Reliability Algorithm Based on Bernstein Polynomials and燛vidence Theory

Zhang¹,

Ni²,

Hu³

et al. 2023

Computer Systems Science and Engineering

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Structural reliability is an important method to measure the safety performance of structures under the influence of uncertain factors. Traditional structural reliability analysis methods often convert the limit state function to the polynomial form to measure whether the structure is invalid. The uncertain parameters mainly exist in the form of intervals. This method requires a lot of calculation and is often difficult to achieve efficiently. In order to solve this problem, this paper proposes an interval variable multivariate polynomial algorithm based on Bernstein polynomials and evidence theory to solve the structural reliability problem with cognitive uncertainty. Based on the non-probabilistic reliability index method, the extreme value of the limit state function is obtained using the properties of Bernstein polynomials, thus avoiding the need for a lot of sampling to solve the reliability analysis problem. The method is applied to numerical examples and engineering applications such as experiments, and the results show that the method has higher computational efficiency and accuracy than the traditional linear approximation method, especially for some reliability problems with higher nonlinearity. Moreover, this method can effectively improve the reliability of results and reduce the cost of calculation in practical engineering problems.

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A q-rung orthopair basic probability assignment and its application in medical diagnosis

Cited by 21 publications

References 0 publications

The Quality Assessment of Pavement Performance Using the Entropy Weight-Variable Fuzzy Sets Model

The Quality Assessment of Pavement Performance Using the Entropy Weight-Variable Fuzzy Sets Model

A q-rung orthopair fuzzy combined compromise solution approach for selecting sustainable third-party reverse logistics provider

Structural Interval Reliability Algorithm Based on Bernstein Polynomials and燛vidence Theory

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