Government transparency measurement through prioritized distance operators

Avilés‐Ochoa, Ezequiel; León‐Castro, Ernesto; Pérez-Arellano, Luis Alessandri; Merigó, José M.

doi:10.3233/jifs-17935

Cited by 24 publications

(6 citation statements)

References 54 publications

(64 reference statements)

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“…There are several methods to target decision-making problems utilizing averaging operators, see, e.g., (Avilés-Ochoa, León-Castro, Perez-Arellano, & Merigó, 2018). In the present study, we propose a stepwise process to assess a decision-making problem using the MCMR-IOWLAD operator, which can be summarized as follows:…”

Section: Decision-making With Multicriteria Mr-iowladmentioning

confidence: 99%

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

Alfaro‐García

Merigó

Pérez

et al. 2019

Technological and Economic Development of Economy

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This paper introduces the induced ordered weighted logarithmic averaging IOWLAD and multiregion induced ordered weighted logarithmic averaging MR-IOWLAD operators. The distinctive characteristic of these operators lies in the notion of distance measures combined with the complex reordering mechanism of inducing variables and the properties of the logarithmic averaging operators. The main advantage of MR-IOWLAD operators is their design, which is specifically thought to aid in decision-making when a set of diverse regions with different properties must be considered. Moreover, the induced weighting vector and the distance measure mechanisms of the operator allow for the wider modeling of problems, including heterogeneous information and the complex attitudinal character of experts, when aiming for an ideal scenario. Along with analyzing the main properties of the IOWLAD operators, their families and specific cases, we also introduce some extensions, such as the induced generalized ordered weighted averaging IGOWLAD operator and Choquet integrals. We present the induced Choquet logarithmic distance averaging ICLD operator and the generalized induced Choquet logarithmic distance averaging IGCLD operator. Finally, an illustrative example is proposed, including real-world information retrieved from the United Nations World Statistics for global regions.

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Section: Decision-making With Multicriteria Mr-iowladmentioning

confidence: 99%

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

Alfaro‐García

Merigó

Pérez

et al. 2019

Technological and Economic Development of Economy

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“…As mentioned in the introduction, a number of ordered weighted aggregation operators are available in the literature which accomplishes similar properties than OWA operator. So, it is also possible to consider other ordered weighted aggregation operators as a special kind of attitudinal expected value of decision maker by using induced aggregation operators, moving averages, Bonferroni means, prioritized operators, and logarithmic means . With this assumption, in the next section, we propose some new deviation measures by considering the OWG operator, the OWHA operator, the GOWA operator and the QOWA operator as an expected value and discuss their particular cases.…”

Section: Preliminariesmentioning

confidence: 99%

Variance measures with ordered weighted aggregation operators

Verma

Merigó

2019

Int J Intell Syst

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The variance is a statistical measure widely used in many real‐life application areas. This article makes an extensive investigation on variance measure in the case when the uncertainty is not of a probabilistic nature. It generalizes the notion of variance as well as the theory of ordered weighted aggregation operators. First, we extend the idea of representative value/expected value of a decision maker and develop some new deviation measures based on ordered weighted geometric (OWG) average and ordered weighted harmonic average (OWHA) operators. These measures are developed with the consideration that decision maker can represent his/her attitudinal expected value by using any one of the ordered weighted aggregation (OWA) operators. Further, this study proposes some deviation measures by using the generalized‐OWA (GOWA) and Quasi‐OWA as an expected value of decision maker and discusses their particular cases. Second, a number of generalized deviation measures are introduced by taking the generalized arithmetic mean and quasi‐arithmetic means for aggregation of the individual dispersion. This approach provides an ability to the user for considering the deviation under different realistic‐scenario. These measures lead to many interesting particular and limiting cases and enrich the use of ordered weighted aggregation operators in the variance.

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“…Ma et al [23] investigated a medical treatment selection problem with different prioritization levels of decision makers by using the prioritized harmonic mean operators. Avilés-Ochoa et al [24] defined a prioritized induced probabilistic ordered weighted averaging distance operator and used it to measure government transparency. Yu et al [56] designed a mathematical model to explore hotel selection on websites, for which the weights of criteria are calculated according to the idea of the PA operator.…”

Section: Application Of Prioritized Operatormentioning

confidence: 99%

“…Further, the matrix W ij is obtained based on Equation (24). Step 6.2: The comprehensive evaluation value of each green supplier is aggregated by Equation (25).…”

Section: Appendix Amentioning

confidence: 99%

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

Zhu

2018

Sustainability

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Green supplier selection, as a core part of green supply chain management, has attracted the attention of various researchers in the past decade. Plenty of green supplier selection methods based on multi-criteria group decision-making have been presented in previous literature. However, these approaches ignore the consensus level between the experts, and they rarely consider the priority level among the experts and the interdependent relationship between criteria. To handle these issues, an integrated framework of green supplier selection under the hesitant fuzzy linguistic (HFL) environment was established. In this framework, the preference information expressed by HFL was transformed into the hesitant 2-tuple linguistic (H2TL). Then, the consensus process was introduced into the green supplier selection process to increase the consensus level between experts. The H2TL prioritized operator and Choquet integral operator were respectively applied to construct the group decision matrix and derive the ranking order of green suppliers. Finally, we used a numerical example to demonstrate the validity and applicability of the presented framework and implemented a comparative analysis to highlight the features of the presented method.

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Government transparency measurement through prioritized distance operators

Cited by 24 publications

References 54 publications

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

Induced and Logarithmic Distances With Multi-Region Aggregation Operators

Variance measures with ordered weighted aggregation operators

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

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