Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review

Applied Soft Computing, Год журнала: 2023, Номер 148, С. 110915 - 110915

Опубликована: Окт. 7, 2023

In the field of Multi-Criteria Decision Analysis (MCDA), deployment sensitivity analysis has become a fundamental approach to testing robustness and reliability results obtained. Its importance lies in its ability gain additional insight into potential changes that affect desirability decision variants being evaluated. Through different methodologies, it reveals vulnerability underlying data, thus offering valuable information support making. This research paper highlights compendium 250 researches involving application multi-criteria context. Using structured Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) methodology, this study provides comprehensive review process. The main objectives are identify categorize common techniques explained literature describe selected framework facilitates execution these techniques. demonstrates enhance credibility MCDA outcomes contributes support.

Язык: Английский

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Application of fermatean fuzzy weight operators and MCDM model DIBR-DIBR II-NWBM-BM for efficiency-based selection of a complex combat system

Journal of Decision Analytics and Intelligent Computing, Год журнала: 2023, Номер 3(1), С. 243 - 256

Опубликована: Дек. 2, 2023

The use of complex automated combat systems is a basic feature every modern operation, and all armies strive to implement such in their units. This paper investigates the choice system based on efficiency criteria that condition it. Defining Interrelationships Between Ranked (DIBR) II (DIBR II) methods were used determine weight coefficients criteria, which proved be effective assessing importance each criterion context making decisions. Aggregation expert opinions, for methods, was performed using Normalized Weighted Bonferroni Mean (NWBM) operator. After both obtained, aggregation obtained values (BM) operator, resulted final criteria. In order choose optimal alternative, Fermatean Fuzzy Weight Operators (FFWO) BM operator used. These operators contributed precise evaluation ranking alternatives, taking into account characteristics specificities. Furthermore, analyzed sensitivity output results changes important assess stability Multiple Criteria Decision Making (MCDM) model ensure its reliability different scenarios. work represents significant contribution field decision-making this provides useful framework selection systems, combination enables comprehensive analysis optimization research problem.

Язык: Английский

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Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Journal of Soft Computing and Decision Analytics, Год журнала: 2024, Номер 2(1), С. 71 - 85

Опубликована: Янв. 5, 2024

Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure various severe impacts of change. study applied a two-stage model that integrates Step-Wise Weight Assessment Ratio Analysis (SWARA) Weighted Aggregated Sum Product (WASPAS) methods within unique framework under influence spherical fuzzy (SF) conditions. In initial stage, SF-SWARA determines relative importance criteria, while subsequent stage involves SF-WASPAS method rank strategies. most critical challenges are limited access finance inadequacies in data, scenarios, impact models, solution be considered promotion well-coordinated capacity-building programme. Furthermore, comprehensive sensitivity analysis was conducted validate applicability proposed model. not only identifies explains associated risks management African context but also significantly contributes body knowledge by outlining required address these challenges.

Язык: Английский

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APPLICATION OF HYBRID DIBR-FUCOM-LMAW-BONFERRONI-GREY-EDAS MODEL IN MULTICRITERIA DECISION-MAKING

Facta Universitatis Series Mechanical Engineering, Год журнала: 2023, Номер 21(3), С. 387 - 387

Опубликована: Окт. 31, 2023

The selection of unmanned aerial vehicles for different purposes is a frequent topic research. This paper presents hybrid model an vehicle (UAV) using the Defining Interrelationships Between Ranked criteria (DIBR), Full Consistency Method (FUCOM), Logarithm Methodology Additive Weights (LMAW) and grey - Evaluation based on Distance from Average Solution (G-EDAS) methods. above-mentioned tested confirmed in case study. First all, are defined conditioning selection, then with help experts by applying DIBR, FUCOM LMAW methods, weight coefficients determined. final values obtained aggregating weights all three methods Bonferroni aggregator. Ranking optimal UAV twenty-three alternatives carried out G-EDAS method. Sensitivity analysis high degree consistency solutions other MCDM as well changing coefficients. proposed has proved to be stable; its application also possible areas it reliable tool decision-makers during process.

Язык: Английский

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Interval fuzzy AHP method in risk assessment

Reports in Mechanical Engineering, Год журнала: 2023, Номер 4(1), С. 131 - 140

Опубликована: Авг. 22, 2023

The Analytic Hierarchy Process (AHP) method is one of the oldest and mostly used multi-criteria decision-making methods. In addition to development a large number other methods, AHP still widely applied. More more often, this being modified by application various mathematical tools dealing with consideration uncertainty indeterminacy. This paper presents an approach modification using triangular interval fuzzy numbers. approach, confidence describing comparison criteria differs from another. It depends on opinion decision makers/experts, respectively, their certainty in they make. presented problem selecting course navigation vessels flooded areas, based risk assessment each predicted course.

Язык: Английский

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An integrated intelligent decision support framework for the development of photovoltaic solar power

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 127, С. 107253 - 107253

Опубликована: Окт. 11, 2023

Язык: Английский

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Optimising Assault Boat Selection for Military Operations: An Application of the DIBR II-BM-CoCoSo MCDM Model

Journal of Intelligent Management Decision, Год журнала: 2023, Номер 2(4), С. 160 - 171

Опубликована: Окт. 13, 2023

In the pivotal task of selecting an assault boat conducive for military operations, especially amidst challenges posed by water obstacles, utilisation Multi-Criteria Decision-Making (MCDM) methods surfaces as vital. this investigation, a meticulous application DIBR II (Defining Interrelationships Between Ranked criteria II) - BM (Bonfferoni Mean) – CoCoSo (COmbined COmpromise SOlution) multi-criteria decision-making model is performed. Initially, weight coefficients were determined via method, with expert opinions being cohesively aggregated using operators. Subsequently, method was employed to discern optimal alternative among various boats. A comprehensive analysis, entailing examination sensitivity output results alterations in criteria, conducted post-final ranking alternatives. Noteworthy finding that negligible deviations defining experts do not impose significant impact on ultimate selection alternative. Furthermore, comparative analysis alongside other MCDM corroborated only efficacy but also superiority implemented model. The insights derived underscore practical applicability, stability, and accuracy proposed choosing boats operations. This exploration fortifies process contexts related overcoming obstacles portends potential applicability domains necessitating intricate decision-making.

Язык: Английский

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Sustainable Healthcare System Devolution Strategy Selection Using the AROMAN MCDM Approach

Spectrum of Decision Making and Applications., Год журнала: 2024, Номер 1(1), С. 45 - 62

Опубликована: Июль 29, 2024

The social pillar strategy has various components including education, science and technology, health. Health care in Kenya is now a devolved function under county governments. This study aims to establish the challenges facing implementation of Vision 2030 health sector Kisumu County. In addition, determine strategies being put place address these challenges. data used this are obtained by consulting experts considered field. use one-to-seven-point scale criteria weights while Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) applied rank strategies. While most critical issues insufficient human resources health, deteriorated infrastructure, shortage pharmaceuticals non-pharmaceuticals, alternatives consider increasing investment information communication technology (ICT), developing leadership through continuous learning, enhancing investments infrastructure. To test stability AROMAN method, authors conduct sensitivity analysis. research not only identifies explains associated with establishment sustainable healthcare devolution County but also significantly contributes body knowledge outlining prioritizing required

Язык: Английский

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Assessment of Solar Energy Technologies in Meeting the 2030 Agenda and Sustainable Development Goals Under an Interval-Valued Fermatean Fuzzy Environment

Journal of Operations Intelligence, Год журнала: 2024, Номер 2(1), С. 114 - 128

Опубликована: Янв. 25, 2024

Renewable energy sources, particularly solar energy, play a vital role in achieving the 2030 agenda and sustainable development goals (SDGs) Africa. While not explicitly addressed millennium (MDGs), renewable including technologies, indirectly contributed to MDGs targets Nevertheless, absence of quantifiable assessments regarding impacts potentially attributed limited implementation developing world, motivates this paper evaluate their potential impact The analysis, based on two-level criteria framework utilizing interval-valued Fermatean fuzzy analytical hierarchy process methodology, identifies top three as reduction CO2 emissions, monetary savings, diminishment air pollution.

Язык: Английский

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Prioritizing sustainable renewable energy systems in Tunisia: An integrated approach using hybrid multi-criteria decision analysis

Energy Exploration & Exploitation, Год журнала: 2024, Номер 42(3), С. 1047 - 1076

Опубликована: Янв. 23, 2024

In recent years, renewable energy technologies (RETs) have become increasingly popular worldwide to achieve sufficiency, reduce reliance on conventional fuels, and mitigate their devastating environmental impact. Nonetheless, more appears stayed the same in emerging economies, such as Tunisia, various barriers hampered implementation of these technologies. Hence, prime objective this article is conduct a thoughtful assessment four prominent options for electricity generation explore most potential hindering development Tunisia. To do so, two-stage approach was applied. First, CRiteria Importance Through Inter-Criteria Correlation (CRITIC) Evaluation based Distance from Average Solution (EDAS) were used evaluate considered alternatives, namely solar PV, concentrated power (CSP), onshore wind, biomass. Then, an integrated step-wise ratio analysis decision-making trial evaluation laboratory (SWARA-DEMATEL) developed identify relevant barriers. The related criteria determined exhaustive literature review experts’ feedback. obtained results indicated that PV wind promising technologies, while biomass worst option. validate outcome demonstrate effect changing input data final results, sensitivity has been carried out. As key obstacles, political instability, high upfront costs, market access mechanisms influential prioritizing different RETs analyzing inherent utilization would offer insightful guidance policymakers, enabling them establish efficient strategies overcoming accelerating deployment country.

Язык: Английский

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