Bonferroni Probabilistic Ordered Weighted Averaging Operators Applied to Agricultural Commodities’ Price Analysis

Espinoza-Audelo, Luis F.; Olazabal-Lugo, Maricruz; Blanco‐Mesa, Fabio; León‐Castro, Ernesto; Alfaro‐García, Víctor G.

doi:10.3390/math8081350

Cited by 11 publications

(4 citation statements)

References 60 publications

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“…For future research, more extensions of the OWA operator can be conceived with the use of distance operators [43], Bonferroni means [17,29,44], moving averages [45][46][47][48], forgotten effects [47,49], the least square deviation [50,51] or logarithmic operators [52,53]. This is important when the subjectivity and the uncertainty of the decision-making process are presented.…”

Section: Discussionmentioning

confidence: 99%

Bonferroni Prioritized Aggregation Operators Applied to Government Transparency

Pérez-Arellano¹,

Blanco‐Mesa

León‐Castro

et al. 2020

Mathematics

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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.

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Section: Discussionmentioning

confidence: 99%

Bonferroni Prioritized Aggregation Operators Applied to Government Transparency

Pérez-Arellano¹,

Blanco‐Mesa

León‐Castro

et al. 2020

Mathematics

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“…The authors developed a deep learning architecture in the form of an expert system. The article Espinoza-Audelo, L., Olazabal-Lugo, M., Blanco-Mesa, F., León-Castro, E., Alfaro-Garcia, V. is devoted to the application of mathematical modeling methods to assessing the impact of the external environment on the state of an organization [25].…”

Section: Literature Foundationsmentioning

confidence: 99%

Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation

Borodin

Mityushina

Стрельцова

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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The article develops economic and mathematical models as a tool for conducting factor financial analysis of the prospects for the development of an industrial enterprise. The functioning of the developed economic and mathematical models is based on the DuPont model, which allows analyzing the dynamics of the company’s profitability in the course of two-factor and three-factor financial analysis. The proposed model tools are based on the convergence of deterministic financial analysis methods embedded in the DuPont model and simulation methods that allow analysis under the influence of random factors. The constructed economic and mathematical models for forecasting profitability use the company’s retrospective data on its financial condition: the amount of profit, revenue, assets, and equity. The constructed simulation models are implemented in the OMEGA software product and included in the computer technology for predicting the profitability of an industrial enterprise. The architecture of the proposed tools is presented, and the results of simulation experiments performed on models are demonstrated.

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“…On the other hand, one can generate a wider representation of the possible scenarios when it is under-or over-estimating the covariance and value of the set of joint variations for which the best result is close to 1 or −1. Additionally, probability is applied to agricultural commodities price [36], which can be used to create scenarios in uncertainty using a V i vector that intercorrelates the arguments, and a weighted and probability vector that represents the attitude and expectancy of the decision maker towards a problem.…”

Section: Introductionmentioning

confidence: 99%

Bonferroni Weighted Logarithmic Averaging Distance Operator Applied to Investment Selection Decision Making

et al. 2022

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Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set of ideal values or characteristics are required to be met. The objective of this paper is to introduce extended distance measures and logarithmic OWA-based decision making operators especially designed for the analysis of financial investment options. Based on the immediate weights, Bonferroni means and logarithmic averaging operators, in this paper we introduce the immediate weights logarithmic distance (IWLD), the immediate weights ordered weighted logarithmic averaging distance (IWOWLAD), the hybrid weighted logarithmic distance (HWLD), the Bonferroni ordered weighted logarithmic averaging distance (B-OWLAD) operator, the Bonferroni immediate weights ordered weighted logarithmic averaging distance (B-IWOWLAD) operator and the Bonferroni hybrid weighted logarithmic distance (HWLD). A financial decision making illustrative example is proposed, and the main benefits of the characteristic design of the introduced operators is shown, which include the analysis of the interrelation between the modelled arguments required from the decision makers and the stakeholders, and the comparison to an ideal set of characteristics that the possible companies in the example must portray. Moreover, some families, particular cases and brief examples of the proposed operators, are studied and presented. Finally, among the main advantages are the modeling of diverse perspectives, attitudinal characteristics and complex scenarios, through the interrelation and comparison between the elements with an ideal set of characteristics given by the decision makers and a set of options.

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Bonferroni Probabilistic Ordered Weighted Averaging Operators Applied to Agricultural Commodities’ Price Analysis

Cited by 11 publications

References 60 publications

Bonferroni Prioritized Aggregation Operators Applied to Government Transparency

Bonferroni Prioritized Aggregation Operators Applied to Government Transparency

Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation

Bonferroni Weighted Logarithmic Averaging Distance Operator Applied to Investment Selection Decision Making

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