Multicriteria decision-making to support preventive maintenance of built heritage in the historic center of Sobral, Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luiz Carlos Magalhães Olimpio ◽  
Vanessa Ribeiro Campos ◽  
Esequiel Fernandes Teixeira Mesquita
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Cultural Heritage ◽  
Public Administration ◽  
Preventive Maintenance ◽  
Multicriteria Decision Making ◽  
Content Type ◽  
Multicriteria Decision ◽  
Historic Center ◽  
Built Heritage

PurposeThe study aims to identify and evaluate relevant criteria in the proposal and support of public administration policies for preventive maintenance comprised in a conservation approach to built heritage and aligned with local sustainable development of the historic center of the city of Sobral, in Brazil.Design/methodology/approachA novel multicriteria decision model adopting the Bayesian best-worst method is presented and its application and results are described. Though a systematic procedure, criteria were selected in order to protect the tangible and intangible values of cultural heritage, as well as its sustainable development. Then experts evaluate these criteria through an elicitation instrument.FindingsThe results show that for the decision problem over preventive maintenance, social contribution and historical record of built heritage are more important than its structural vulnerability, while architecture is less relevant. Due to the low restrictions, the subcriterion related to this property has the least influence. The weights can assist in the characterization of measures and policies for the protection of the built cultural heritage.Originality/valueThe use of a novel decision-making method in cultural heritage is an important initiative, given the frequent use of simple and inefficient methods. The identified and weighted criteria are important data to characterize the scenario and the topic. The results contribute to protection and development of the built heritage, encouraging the implementation of preventive conservation in the historic center, conferring to the public administration valuable information to support and propose initiatives.

Integrated data envelopment analysis and multicriteria decision-making ranking approach based on peer-evaluations and subjective preferences: case study in banking sector

2020 ◽  
Vol 54 (4) ◽  
pp. 551-582
Author(s):  
Jolly Puri ◽  
Meenu Verma
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Decision Maker ◽  
Multicriteria Decision Making ◽  
Peer Evaluation ◽  
Data Envelopment ◽  
Content Type ◽  
Multicriteria Decision ◽  
Subjective Preference ◽  
The Impact

PurposeThis paper is focused on developing an integrated algorithmic approach named as data envelopment analysis and multicriteria decision-making (DEA-MCDM) for ranking decision-making units (DMUs) based on cross-efficiency technique and subjective preference(s) of the decision maker.Design/methodology/approachSelf-evaluation in data envelopment analysis (DEA) lacks in discrimination power among DMUs. To fix this, a cross-efficiency technique has been introduced that ranks DMUs based on peer-evaluation. Different cross-efficiency formulations such as aggressive and benevolent and neutral are available in the literature. The existing ranking approaches fail to incorporate subjective preference of “one” or “some” or “all” or “most” of the cross-efficiency evaluation formulations. Therefore, the integrated framework in this paper, based on DEA and multicriteria decision-making (MCDM), aims to present a ranking approach to incorporate different cross-efficiency formulations as well as subjective preference(s) of decision maker.FindingsThe proposed approach has an advantage that each of the aggressive, benevolent and neutral cross-efficiency formulations contribute to select the best alternative among the DMUs in a MCDM problem. Ordered weighted averaging (OWA) aggregation is applied to aggregate final cross-efficiencies and to achieve complete ranking of the DMUs. This new approach is further illustrated and compared with existing MCDM approaches like simple additive weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prove its validity in real situations.Research limitations/implicationsThe choice of cross-efficiency formulation(s) as per subjective preference of the decision maker and different orness levels lead to different aggregated scores and thus ranking of the DMUs accordingly. The proposed ranking approach is highly useful in real applications like R and D projects, flexible manufacturing systems, electricity distribution sector, banking industry, labor assignment and the economic environmental performances for ranking and benchmarking.Practical implicationsTo prove the practical applicability and robustness of the proposed integrated DEA-MCDM approach, it is applied to top twelve Indian banks in terms of three inputs and two outputs for the period 2018–2019. The findings of the study (1) ensure the impact of non-performing assets (NPAs) on the ranking of the selected banks and (2) are enormously valuable for the bank experts and policy makers to consider the impact of peer-evaluation and subjective preference(s) in formulating appropriate policies to improve performance and ranks of underperformed banks in competitive scenario.Originality/valueTo the best of the authors’ knowledge, this is the first study that has integrated both DEA and MCDM via OWA aggregation to present a ranking approach that can incorporate different cross-efficiency formulations and subjective preference(s) of the decision maker for ranking DMUs.

Perspectives for Utilization of Multicriteria Decision Methods AHP / ANP to Create a National Energy Strategy in Terms of Sustainable Development

2012 ◽  
Vol 616-618 ◽  
pp. 1585-1590
Author(s):  
Oliver Moravčik ◽  
Branislav Sekera ◽  
Rastislav Beňo ◽  
Peter Sakál ◽  
Lubomir Šmida
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Solution Structure ◽  
Slovak Republic ◽  
Multicriteria Decision Making ◽  
Optimal Decision ◽  
Energy Strategy ◽  
Multicriteria Decision ◽  
Available Energy ◽  
Decision Making Model

Today, by globalization an interconnected world is very important the cooperation of all stakeholders at the international level. It is not only our opinion, that the only alternative is sustainable development of planet Earth, to which would contribute the mentioned cooperation. As shown by the results of [1, 2] our research, the internet allows us to quick exchange of information, experiences and good ideas. To ensure the development of the Slovak Republic is necessary to become a part of sustainable development also sustainable energy solutions and technologies which use its own available energy resources [3]. This paper deals with methods using multi-criteria decision-ANP / AHP for creation a national energy strategy in terms of sustainable development, which present complex decision models with more alternatives, or scenarios, and from an extensive set of evaluation indicators for creation the best strategy or finding the optimal decision. The decision-making model, referred to in this paper is the application of Saaty’s method ANP with BOCR (Benefits, Opportunities, Costs, Risks) network, where by the setting preferences BOCR is achieved with the application of AHP method with hierarchical structure of strategic indicators. A small drawback of this solution is its large extensity and therefore the solution structure is schematically shown in this paper. Keywords: AHP/ANP, DHP/DNP, multicriteria decision making, sustainable development, national energy strategy

scholarly journals Assessing Countries Sustainability: A Group Multicriteria Decision Making Methodology Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 174
Author(s):  
Roberto Castaneda ◽  
Pilar Arroyo ◽  
Lourdes Loza
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Clustering Algorithm ◽  
Multicriteria Decision Making ◽  
Weight Vector ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Multicriteria Decision ◽  
Development Goals ◽  
Regional Associations

Sustainability is a complex and abstract concept. However, policy-makers and representatives of global and regional associations need to assess and track the sustainable development of countries and regions to define a sustainability strategic path. The objective of this research is to propose and validate a methodology to define a simple but proper sustainability index that serves as a proxy for the identification of the segments of most and least advanced countries according to their achievement of the sustainable development goals defined by the United Nations (UN). Several well-known quantitative methodologies are used to first define a summarized index of sustainable development. Second, multicriteria decision-making methods are applied to determine the relative importance of the elements or dimensions comprising the sustainability concept. Then, the simulated judgments of a group of experts is used to compute a group weight vector by applying the Fuzzy Analytic Hierarchy Process (FAPH). Different aggregation methods are used to compute the importance that decision-makers assign to the several dimensions of sustainability. Finally, segments of countries generated with the clustering algorithm k-means are rated to identify sustainability benchmark segment(s) and groups of countries in need of support to attain the UN sustainability goals.

Multicriteria decision-making in flight route selection

2020 ◽  
Vol 92 (9) ◽  
pp. 1377-1384
Author(s):  
Leszek Rolka ◽  
Alicja Mieszkowicz-Rolka ◽  
Grzegorz Drupka
Keyword(s):  
Decision Making ◽  
Traffic Management ◽  
Fuzzy Inference ◽  
Multicriteria Decision Making ◽  
Optimization Procedure ◽  
Decision Matrix ◽  
Inference System ◽  
Content Type ◽  
Multicriteria Decision ◽  
Flight Route

Purpose This paper aims to present a hybrid logical-arithmetic approach for selecting optimal flight routes. It can be used in the framework of free route airspace (FRA), which is aimed at achieving higher efficiency of air traffic management. Design/methodology/approach At the first stage, an initial subset of flight routes is selected that are promising alternatives with respect to single numerical criteria. At the second stage, a hybrid multicriteria decision model is constructed, consisting of numerical criteria and additional linguistic criteria. At the third stage, the numerical and linguistic criteria are integrated into a crisp decision matrix for determining the final ranking using the technique for order preferences by similarity to an ideal solution (TOPSIS) method. Findings The considered decision-making problem involves different kinds of criteria. Numerical (objective) criteria are given as real numbers. Linguistic (subjective) criteria are expressed with the help of fuzzy linguistic values. In consequence, a (logical) reasoning process prior to performing an (arithmetic) optimization procedure is necessary. Furthermore, a uniform optimization procedure requires a way of combining numerical and linguistic attributes. Practical implications The proposed approach can be applied to solving various multicriteria decision-making problems, where both objective and subjective criteria are taken into account. Originality/value First, a fuzzy information system that includes linguistic condition attributes is constructed. Second, a fuzzy inference system that is necessary for determining the resulting fuzzy criterion “turbulence conditions” for all flight routes is introduced. Finally, a way of combining numerical and linguistic criteria is proposed. This is done by converting values of fuzzy attributes into crisp ones, basing on the preferences of a decision-maker.

scholarly journals Identifying Value-Increasing Actions for Cultural Heritage Assets through Sensitivity Analysis of Multicriteria Evaluation Results

2020 ◽  
Vol 12 (21) ◽  
pp. 9238
Author(s):  
Emanuele Salerno
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Cultural Heritage ◽  
Adaptive Reuse ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Final Destination ◽  
The People ◽  
The Stability

This paper presents a brief overview of multicriteria decision making (MCDM) as applied to the evaluation of adaptive reuse projects for cultural heritage assets and proposes a strategy to plan interventions to increase their value. The value of an object can be defined from its fitness to fulfil specified objectives, its significance to the people who own or use it, its potential to produce revenues, and a host of other criteria depending on its nature. These criteria are often subjective, relying on judgements issued by several experts, stakeholders and decision makers. This is why the MCDM methods need to formalize the problem so as to make it suitable to be treated quantitatively. Moreover, its sensitivity to variable opinions must be studied to check the stability of the result. We propose to leverage sensitivity analysis to identify the lines of intervention that promise to be the most effective to increase the value of the asset. A simulated example illustrates this strategy. This approach promises to be useful when assessing the sustainability of a reuse or redevelopment project in the cases where the final destination of the asset is still under examination.

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