A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application

He, Ping; Yang, Zaoli; Hou, Bowen

doi:10.3390/math8081240

Cited by 10 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, PA operators are combined with different aggregation operators. There are many proposed aggregation operators in the literature, both based on T‐norm operators 12,30,31 and taking into account the interrelationship between criteria 12,14,21,32 . Interaction operators (MM, BM, HM, etc.)…”

Section: Preliminariesmentioning

confidence: 99%

See 1 more Smart Citation

A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q ‐rung orthopair fuzzy sets

Aydemı̇r

Gündüz

2021

Int J Intell Syst

View full text Add to dashboard Cite

In this paper, based on power aggregation (PA) operators, neutrality average and neutrality geometric aggregation operators are proposed. Furthermore, a general score function for q-rung orthopair fuzzy sets (q-ROFSs) is proposed. PA can reduce the impact of excessively high or excessively low arguments. It also emphasizes the interrelationship between attributes on the decision matrix. PA and neutrality aggregations (NAs) were hybrid with more fair and neutral decisions of the DMs evaluations. Also, neutrality aggregation operator provides reliable results by taking into account neutrality among decision-makers. On the one hand, through its dynamic structure, q-ROFSs provide a wider evaluation for decision-makers (DMs). q-ROFSs include many fuzzy sets with varying ≥ q 1 parameters. One of the most important parts of multiattribute group decision-making problems is that DMs do not take into account their bias. On the other hand, the NA operator evaluates the decisions of the DMs from a neutral attitude perspective. The power neutrality aggregation operator proposed in this study produces more objective results. The proposed operator is more consistent with the advantages of both operators and it deals with the attitude of DMs more objectively. Validity tests are applied to the proposed methods. Also, the superior aspects of the

show abstract

Section: Preliminariesmentioning

confidence: 99%

“…There are many proposed aggregation operators in the literature, both based on T-norm operators 12,30,31 and taking into account the interrelationship between criteria. 12,14,21,32 Interaction operators (MM, BM, HM, etc.) take into account the relationship between criteria.…”

Section: Power Aggregation Operatorsmentioning

confidence: 99%

A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q ‐rung orthopair fuzzy sets

Aydemı̇r

Gündüz

2021

Int J Intell Syst

View full text Add to dashboard Cite

show abstract

“…The Power Average operator can consider the overall balance between properties and decrease the impact of singular values on the evaluation results. He et al [18] presented the power Bonferroni mean operator. Li et al [19] put forward the power generalized Heronian mean operator.…”

Section: Introductionmentioning

confidence: 99%

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Zang,

Sun,

Wen

et al. 2023

Systems

View full text Add to dashboard Cite

Information disclosure is an important prerequisite and guarantee for the government to answer public health incidents in a timely manner, and is also a basic requirement for the management of emergencies. Evaluating the information disclosure on public health incidents is conducive to improving the quality of emergency information disclosure and comprehensively enhancing the emergency answer and treatment ability of public health incidents. In response to the complex uncertainties in the assessment of information disclosure on public health incidents, this paper proposes a new fuzzy multi-attribute evaluation method. First, a multi-attribute evaluation system for the assessment of information disclosure on public health emergencies is proposed. Then, a novel approach to information disclosure assessment is proposed on the basis of Dombi power divided Muirhead mean operators of fractional orthotriple fuzzy, which can fully consider the relationship between properties and the division of relationships within properties and reduce the distortion in the evaluation process. Meanwhile, it can avoid the impact of singular values on the overall evaluation outcomes of the government. In the end, the effectiveness and flexibility of the approach are validated through an empirical study of a real-life case with comparative analysis and sensitivity analysis.

show abstract

“…Decision-making techniques are gaining wide attention, of which the multicriteria decision-making (MCDM) is the most vital [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] . MCDM is one of the most common real-life behaviours that can be represented as the outcomes of mental and reasoning processes for the identification of the most suitable alternatives concerning predefined attributes or criteria [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] . In several cases, decision makers (DMs) have difficulty in expressing a specific preference and precise evaluation values accurately when case studies rely on unreliable, ambiguous or incomplete information [41] , [42] , [43] , [44] , [45] , [46] , [47] , [48] , [49] .…”

Section: Introductionmentioning

confidence: 99%

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

Albahri

Zaidan

et al. 2022

Computer Standards & Interfaces

View full text Add to dashboard Cite

Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase ‘development’ presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of ‘recipients list’ and ‘COVID-19 distribution criteria’ was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria.

show abstract

A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application

Cited by 10 publications

References 37 publications

A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q ‐rung orthopair fuzzy sets

A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q ‐rung orthopair fuzzy sets

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

Contact Info

Product

Resources

About