scholarly journals Water Policies and Conflict Resolution of Public Participation Decision-Making Processes Using Prioritized Ordered Weighted Averaging (OWA) Operators

2017 ◽  
Vol 32 (2) ◽  
pp. 497-510 ◽  
Author(s):  
Carlos Llopis-Albert ◽  
José M. Merigó ◽  
Huchang Liao ◽  
Yejun Xu ◽  
Juan Grima-Olmedo ◽  
...  
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Public Participation ◽  
Weighted Averaging ◽  
Owa Operators ◽  
Water Policies ◽  
Ordered Weighted Averaging ◽  
Participation Decision ◽  
Decision Making Processes

scholarly journals From Public Participation to Co-Creation in the Cultural Heritage Management Decision-Making Process

2021 ◽  
Vol 13 (16) ◽  
pp. 9321
Author(s):  
Olgica Grcheva ◽  
Beser Oktay Vehbi
Keyword(s):  
Decision Making ◽  
Cultural Heritage ◽  
Public Participation ◽  
Heritage Management ◽  
Management Decision ◽  
Decision Making Process ◽  
Cultural Heritage Management ◽  
Participation Decision ◽  
Wide Range ◽  
Decision Making Processes

According to the ongoing discussions of researchers, practitioners, and international legislation, the prioritization of top-down decision-making processes in public participation is questionable due to their ambiguous outcomes in various contexts associated with the management of cultural heritage. The main aim of this paper is to highlight and identify co-creation as a sustainable and significant bottom-up methodology that has a wide range of applications, especially in the domain of Cultural Heritage Management (CHM). It is presented as an alternative to the already existing, less democratic, and passive public participation decision-making processes. Examining the evolution of the terms and the processes, together with the common aspects and differences between public participation and co-creation is another goal of this paper. Based on these aims and goals, after conducting case study analyses in various contexts and comprehensive theoretical reviews of the international charters and ongoing practices associated with both key terms, “public participation” and “co-creation”, this paper introduces results that have the potential to solve the existing problems in public participation models and frameworks and successfully integrate communities into the CHM decision-making process through the implementation of the co-creation methodology.

scholarly journals Variances and Logarithmic Aggregation Operators: Extended Tools for Decision-Making Processes

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1892
Author(s):  
Rodrigo Gómez Monge ◽  
Evaristo Galeana Figueroa ◽  
Víctor G. Alfaro-García ◽  
José M. Merigó ◽  
Ronald R. Yager
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Decision Makers ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Decision Making Processes ◽  
Dispersion Measures ◽  
World Information ◽  
Aid Decision

Variance, as a measurement of dispersion, is a basic component of decision-making processes. Recent advances in intelligent systems have included the concept of variance in information fusion techniques for decision-making under uncertainty. These dispersion measures broaden the spectrum of decision makers by extending the toolset for the analysis and modeling of problems. This paper introduces some variance logarithmic averaging operators, including the variance generalized ordered weighted averaging (Var-GOWLA) operator and the induced variance generalized ordered weighted averaging (Var-IGOWLA) operator. Moreover, this paper analyzes some properties, families and particular cases of the proposed operators. Finally, an illustrative example of the characteristic design of the operators is proposed using real-world information retrieved from financial markets. The objective of this paper is to analyze the performance of some equities based on the expected payoff and the dispersion of its elements. Results show that the equity payoff results present diverse rankings combined with the proposed operators, and the introduced variance measures aid decision-making by offering new tools for information analysis. These results are particularly interesting when selecting logarithmic averaging operators for decision-making processes. The approach presented in this paper extends the available tools for decision-making under ignorance, uncertainty, and subjective environments.

Efficient Multiple Attribute Group Decision Making Models with Correlation Coefficient of Vague Sets

2014 ◽  
Vol 5 (3) ◽  
pp. 27-49 ◽  
Author(s):  
John Robinson ◽  
Henry Amirtharaj
Keyword(s):  
Decision Making ◽  
Correlation Coefficient ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Averaging ◽  
Owa Operators ◽  
Vague Sets ◽  
Attribute Weights ◽  
Ordered Weighted Averaging ◽  
Multiple Attribute

A new approach for multiple attribute group decision making (MAGDM) problems where the attribute weights and the expert weights are real numbers and the attribute values take the form of vague values, is presented in this paper. Since families of ordered weighted averaging (OWA) operators are available in the literature, and only a few available for vague sets, the vague ordered weighted averaging (VOWA) operator and the induced vague ordered weighted averaging (IVOWA) operator are introduced in this paper and utilized for aggregating the vague information. The correlation coefficient for vague sets is used for ranking the alternatives and a new MAGDM model is developed based on the IVOWA operator and the vague weighted averaging (VWA) operator. In addition to the proposed model, two different models are proposed based on Linguistic Quantifiers for the situation when the expert weights are completely unknown. An illustrative example is given and a comparison is made between the models to demonstrate the applicability of the proposed approach of MAGDM.

The OWA distance operator and its application in business failure

Kybernetes ◽  
2017 ◽  
Vol 46 (1) ◽  
pp. 114-130 ◽  
Author(s):  
Valeria Scherger ◽  
Antonio Terceño ◽  
Hernán Vigier
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Decision Rules ◽  
Distance Measures ◽  
Weighted Averaging ◽  
Business Failure ◽  
Content Type ◽  
Owa Operators ◽  
Ordered Weighted Averaging ◽  
Alternative Measures

Purpose The purpose of this paper is to develop a goodness index based on Hamming distance and ordered weighted averaging distance (OWAD), which is useful to make decisions. These alternative measures enrich the results of diagnostic fuzzy models and facilitate the experts’ task in decision-making. An application to a set of firms to verify the results is also presented. Design/methodology/approach The paper follows the basis of OWA operators to design a methodology to reduce the map of causes of business failure into monitoring key areas. Findings The present paper introduces two alternative measures to test the proposal of grouping. In the empirical application, the superiority of the minimum T-norm over other decision rules is verified. The ordered weighted averaging distance (OWAD) goodness index predicts a better adjustment over the index built using OWA and Hamming distance measures. Practical implications A useful mechanism to reduce the map of causes or diseases detected in key areas is added through this analysis. At the same time, these key areas can be disaggregated once some alert indicator is identified; this allows knowing the causes that require special attention. This application of OWA can encourage the development of suitable computer systems for monitoring the firm’s problems, alerting regarding failures and easing decision-making. Originality/value A comparison of grouping causes into key areas through a goodness index based on Hamming distance and OWAD is proposed. These contributions enrich the Vigier and Terceño (2008) model and could be applied to any model of fuzzy diagnosis to test the results.

scholarly journals Application of the watershed sustainability index in the Piranhas-Açu watershed

Water Policy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 622-640
Author(s):  
D. D. Costa e Silva ◽  
H. M. L. Chaves ◽  
W. F. Curi ◽  
J. G. V. Baracuhy ◽  
T. P. S. Cunha
Keyword(s):  
Decision Making ◽  
Water Resources ◽  
Public Participation ◽  
Analysis Method ◽  
Resources Management ◽  
The Public ◽  
Sustainability Index ◽  
Decision Making Processes ◽  
Semi Arid Region ◽  
Brazilian Northeast

Abstract The current worldwide water resources issue is one of the crucial matters to overcome obstacles to sustainable development. This problem, formerly tackled in a sectored manner, is now pointing towards an analysis directed to treating the watershed as a management unit, with regards to all dimensions of knowledge and, especially, to the public participation in the decision-making processes. As an alternative to measure its performance, it has been sought out to develop indexes aimed to measure its sustainability, but there is still a lack of the use of composed efficient methodologies that also enable public participation in decision-making. This research presents a methodology comprising 15 indexes for the calculation of the Watershed Sustainability Index (WSI), followed by the application of the PROMETHEE multi-criteria analysis method and the COPELAND multi-decision-maker method. The methodology was applied to evaluate the performance of subwatersheds of the Piranhas-Açu watershed, located in the Brazilian northeast semi-arid region. The performance ordering, obtained through the application of the methods, emphasizes that subwatersheds' performances are uneven. It can be noticed that the subwatersheds' performances are still far from ideal in relation to water resources management, even in the ones that displayed satisfactory index levels.

scholarly journals A Study of OWA Operators Learned in Convolutional Neural Networks

2021 ◽  
Vol 11 (16) ◽  
pp. 7195
Author(s):  
Iris Dominguez-Catena ◽  
Daniel Paternain ◽  
Mikel Galar
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Practical Method ◽  
Local Information ◽  
Weighted Averaging ◽  
Global Information ◽  
Owa Operator ◽  
Owa Operators ◽  
Ordered Weighted Averaging

Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image in the early stages, where most CNN architectures only allow for the exploitation of local information. As a side effect of this integration, the OWA layer becomes a practical method for the determination of OWA operator weights, which is usually a difficult task that complicates the integration of these operators in other fields. In this paper, we explore the weights learned for the OWA operators inside the OWA layer, characterizing them through their basic properties of orness and dispersion. We also compare them to some families of OWA operators, namely the Binomial OWA operator, the Stancu OWA operator and the exponential RIM OWA operator, finding examples that are currently impossible to generalize through these parameterizations.

scholarly journals Triangular Cubic Hesitant Fuzzy Einstein Hybrid Weighted Averaging Operator and Its Application to Decision Making

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 658 ◽  
Author(s):  
Aliya Fahmi ◽  
Fazli Amin ◽  
Florentin Smarandache ◽  
Madad Khan ◽  
Nasruddin Hassan
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Linguistic Information ◽  
Ordered Weighted Averaging ◽  
Averaging Operator ◽  
Multiple Attribute ◽  
The Relationship

In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, triangular cubic hesitant fuzzy Einstein ordered weighted averaging (TCHFEOWA) operator and triangular cubic hesitant fuzzy Einstein hybrid weighted averaging (TCHFEHWA) operator are proposed. An approach to multiple attribute group decision making with linguistic information is developed based on the TCHFEWA and the TCHFEHWA operators. Furthermore, we establish various properties of these operators and derive the relationship between the proposed operators and the existing aggregation operators. Finally, a numerical example is provided to demonstrate the application of the established approach.

scholarly journals Some Generalized Single Valued Neutrosophic Linguistic Operators and Their Application to Multiple Attribute Group Decision Making

2017 ◽  
Vol 5 (2) ◽  
pp. 148-162 ◽  
Author(s):  
Ruipu Tan ◽  
Wende Zhang ◽  
Shengqun Chen
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Averaging ◽  
Attribute Weights ◽  
Ordered Weighted Averaging ◽  
Aggregate Information ◽  
Multiple Attribute

Abstract This paper proposes a group decision making method based on entropy of neutrosophic linguistic sets and generalized single valued neutrosophic linguistic operators. This method is applied to solve the multiple attribute group decision making problems under single valued neutrosophic liguistic environment, in which the attribute weights are completely unknown. First, the attribute weights are obtained by using the entropy of neutrosophic linguistic sets. Then three generalized single valued neutrosophic linguistic operators are introduced, including the generalized single valued neutrosophic linguistic weighted averaging (GSVNLWA) operator, the generalized single valued neutrosophic linguistic ordered weighted averaging (GSVNLOWA) operator and the generalized single valued neutrosophic linguistic hybrid averaging (GSVNLHA) operator, and the GSVNLWA and GSVNLHA operators are used to aggregate information. Furthermore, similarity measure based on single valued neutrosophic linguistic numbers is defined and used to sort the alternatives and obtain the best alternative. Finally, an illustrative example is given to demonstrate the feasibility and effectiveness of the developed method.

Quantile induced heavy ordered weighted averaging operators and its application in incentive decision making

2017 ◽  
Vol 33 (3) ◽  
pp. 514-528 ◽  
Author(s):  
Pingtao Yi ◽  
Weiwei Li ◽  
Yajun Guo ◽  
Danning Zhang
Keyword(s):  
Decision Making ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Ordered Weighted Averaging Operators

scholarly journals Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

2014 ◽  
Vol 11 (2) ◽  
pp. 839-857 ◽  
Author(s):  
Zeng Shouzhen ◽  
Wang Qifeng ◽  
José Merigó ◽  
Pan Tiejun
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Aggregation Operator ◽  
Weighted Averaging ◽  
Business Decision ◽  
Ordered Weighted Averaging ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Weighted Average ◽  
Decision Making Problem ◽  
Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

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