Bonferroni Prioritized Aggregation Operators Applied to Government Transparency

Abstract

This article applies the Bonferroni prioritized induced heavy ordered weighted average (OWA) to analyze a series of data and focuses on the Bonferroni average and heavy induced prioritized aggregation operators. The objective of the present work is to present a new aggregation operator that combines the heavy induced prioritized Bonferroni and its formulations and represents the Bonferroni mean with variables that induce an order with vectors that are greater than one. This work develops some extensions using prioritization. The main advantage is that different types of information provided by a group of decision makers to compare real situations are included in this formulation. Finally, an example using the operators to calculate the transparency of the websites of the 32 states of Mexico was performed. The main idea was to visualize how the ranking can change depending on the importance of the five components of the methodology. The main results show that it is possible to detect some important changes depending on the operator and the experts considered.

Modeling Political Corruption in Spain

“…Finally, increasing funding for open government initiatives [105], building capacity toward strategic planning and performance evaluation [106], rather than investing in entities of doubtful nature like non-profit organizations and/or public companies [107], plus devoting more funds to the judicial system (district attorneys and judges) [108], and information technology for open innovation [109] are recommended.…”

Toma de decisiones estratégicas gerenciales con alto grado de incertidumbre en agencias de turismo

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Multi-Criteria Decision-Making Model for Evaluating Safety of Road Sections

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