Dynamic three-way multi-criteria decision making with basic uncertain linguistic information: A case study in product ranking

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 152, P. 111228 - 111228

Published: Jan. 4, 2024

Language: Английский

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Competitiveness and sustainability in the paper industry: The valorisation of human resources as an enabling factor

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 190, P. 110035 - 110035

Published: March 1, 2024

The concepts of green economy and circular are changing the strategies operating practices many companies, as manufacturing sector must be able to strike a balance between technological challenges, sustainability demands, digitization opportunities. This study focuses on paper aims assess which actions could enable company in more competitive. method used is multi-criteria decision analysis, eight alternatives compared (virgin fiber, recycled renewable energy, waste, wastewater, digitization, human resources, customer relations) through competitiveness indicator. results show that criterion considered most relevant health safety, highlighting how social sphere plays fundamental role. Regarding indicator, resources management seen important parameter, showing their valorization can an enabling factor for both sustainable However, all other combined provide winning mix. It emerges only raw materials minor importance. Social changes affecting industry internally externally reveal underestimating this dimension counterproductive. For reason, different proposed support competitive resource management.

Language: Английский

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A historical review and analysis on MOORA and its fuzzy extensions for different applications

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25453 - e25453

Published: Feb. 1, 2024

Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria sets of preferences. An efficient systematic literature review these is needed maintain their application in distinctive domains. To this end, paper presents comprehensive survey on "multi-objective optimization by ratio analysis" (MOORA) method its fuzzy extensions developed discussed recent years. This includes articles categorized based the publication name, publishing year, journal type applications, extensions. In addition, will enhance understanding practitioners decision-makers MOORA method, development, hybridization, different areas, future work. The study revealed that technique was predominantly with TOPSIS approach, followed AHP COPRAS methods. Furthermore, 76.28 % use single hybridization approaches all studies, while 23.72 environment.

Language: Английский

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Navigating Complexity in Sustainable Conservation: A Multi-Criteria Decision Making of Architectural Heritage in Urbanizing China

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111906 - 111906

Published: Jan. 1, 2025

Language: Английский

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From intuitive to data-driven decision-making in digital transformation: A framework of prevalent managerial archetypes

Digital Business, Journal Year: 2022, Volume and Issue: 2(2), P. 100045 - 100045

Published: Jan. 1, 2022

The use of analytics in corporate decision-making processes demands a paradigm shift within companies, and particularly among their top executives. Corporate leaders represent major lever for this change. Therefore, deeper understanding managerial capabilities, characteristics contribution context is required. Aiming to provide actionable guidance on how manage the data-driven decision making, study helps develop more profound emerging role by examining success factors following semi-structured interview approach. With insights from interviews with 32 executives Germany across different industries, paper research proposes four archetypes that are relevant mastering digital transformation towards analytics-based processes. Furthermore, it sheds light characteristics, contributions archetypes—Analytical Thinker, Coach, Guide, Strategist. Although have differentiated attributes qualities, all seem importance manifesting organizations. Our findings guidelines assess management's abilities projects. results serve as basis future empirical human aspect analytical capabilities regarding leadership.

Language: Английский

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An Autonomous Adaptive Enhancement Method Based on Learning to Optimize Heterogeneous Network Selection

International Journal of Sensors Wireless Communications and Control, Journal Year: 2022, Volume and Issue: 12(7), P. 495 - 509

Published: Sept. 1, 2022

Aims and Background: Mobile workstations are frequently used in challenging environments of heterogeneous networks. Users must move between various networks for a myriad purposes, including vertical handover. At this time, it is critical the mobile station to quickly pick most appropriate from all identified alternative connections with decision outcome, avoiding ping-pong effect greatest extent feasible. Objectives Methodology: Based on combination network characteristics as well user choice, study offers selection method. This technique integrates three common Multi-Attribute Decision-Making (MADM) techniques, notably Fuzzy Analytic Hierarchy Process (FAHP), Entropy, Technique Order Preference by Similarity Ideal Solution (TOPSIS), take into consideration preferences every prospective real scenario For different traffic classes, FAHP first utilized determine weights parameters utility numbers total options available. Next, entropies TOPSIS obtain only unbiased factors principles totally options. Results: The suitable networks, whose number larger than that equivalent present phone station, chosen provide accessibility based each system limit. suggested method not eliminates particular algorithm's one-sided character but also dynamically changes percentage desired outcome needs. Conclusion: proposed model was compared existing hybrid methods. results showed could precisely choose optimized connectivity significantly reduce value handoffs. It provides requisite Quality Service (QoS) Everything (QoE) terms quantitative benefits handovers.

Language: Английский

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A Strong Sustainability Paradigm based Analytical Hierarchy Process (SSP-AHP) method to evaluate sustainable healthcare systems

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110493 - 110493

Published: June 17, 2023

The recent studies signify the growing concern of researchers towards monitoring and measuring sustainability performance at various levels in many fields, including healthcare. However, there is no agreed approach to assessing health systems. Moreover, social indicators are less developed succinct. Therefore, with this work, authors seek map sustainable reference values healthcare propose a conceptual structured framework that can guide measurement sustainability-oriented Based on new multi-criteria method called Strong Sustainability Paradigm based Analytical Hierarchy Process (SSP-AHP), presented opens availability for systems' comparison benchmarking. incorporated into evaluation prevents exchangeability criteria by promoting alternatives achieve good all criteria, implying sustainability. research results offer insights core domains, sub-domains, supporting more comprehensive assessment constructed study consists five major areas: equity, quality, responsiveness, financial coverage, adaptability. proposed set also serve as instrument, providing transparency about aspects be measured reported, well policy-makers decisions regarding sectoral strategies helpful while performing cross-national comparisons. Our findings suggest most socially systems Nordic countries. They high level protection, achieving very outcomes. Furthermore, their safeguarded balancing identified values. On other hand, unsustainable systems, located central eastern European countries, have unmet needs, experiencing shortages workforce underfunding A key challenge them increasing share public expenditure limiting substantial dependence out-of-pocket payments.

Language: Английский

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Determining the Factors Influencing Business Analytics Adoption at Organizational Level: A Systematic Literature Review

Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(3), P. 125 - 125

Published: June 28, 2023

The adoption of business analytics (BA) has become increasingly important for organizations seeking to gain a competitive edge in today’s data-driven landscape. Hence, understanding the key factors influencing BA at organizational level is decisive successful implementation these technologies. This paper presents systematic literature review that utilizes PRISMA technique investigate organizational, technological, and environmental affect BA. By conducting thorough examination pertinent research, this consolidates current pinpoints essential elements shape process adoption. Out total 614 articles published between 2012 2022, 29 final were carefully chosen. findings highlight significance factors, technological shaping process. consolidating analyzing body offers valuable insights aiming adopt successfully maximize their benefits level. synthesized also contribute existing provide foundation future research field.

Language: Английский

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Blended learning and online learning with project-based learning: Do they affect cognition and psycho-motor learning achievement in physical conditions?

Retos, Journal Year: 2023, Volume and Issue: 50, P. 556 - 565

Published: Sept. 1, 2023

Background and the Aim of Study. Online learning is only available in a limited capacity via WhatsApp group. The group application used to provide material which often offered form films obtained from YouTube, very brief explanations, assignments. Therefore, special attention needed considering online methods so that objectives can be achieved. This study aims determine effect blended project-based on cognitive psychomotor capacities Padang State University students. Material Methods. uses quantitative approach. research was conducted at with third-semester students enrolled 2022 physical condition course. A total 80 third semester course were as sample. Data outcomes achievements using an observation sheet e-test skills video conferencing learning. analysis techniques this assisted by SPSS application. Results. Cognitive who are taught model reach average 72.3. greater than studying (BL) model, namely 63.5. Students (PjBL) had result 81.3 76.3. Conclusions. results show models have major impact under settings. Testing variables other health for additional study, it important look affect students' progress Keywords: Blended Learning, Project-Based Psychomotor Learning

Language: Английский

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New distributed-topsis approach for multi-criteria decision-making problems in a big data context

Journal Of Big Data, Journal Year: 2023, Volume and Issue: 10(1)

Published: June 9, 2023

Abstract Nowadays, the online environment is extra information-rich and allows companies to offer receive more options opportunities in multiple areas. Thus, decision-makers have abundantly available alternatives choose from best one or rank most least preferred. However, multicriteria decision-making field, tools support a limited number of with as narrow criteria possible. Decision-makers are forced apply screening filtering method reduce size problem, which will slow down process eliminate some potential rest process. Implementing MCDM methods high-performance parallel distributed computing environments becomes crucial ensure scalability solutions Big Data contexts, where can consider vast alternatives, each being described on basis criteria. In this context, we TOPSIS widely used methods. We present implementation based MapReduce paradigm. This solution response time facilitate analysis robustness sensitivity high-dimension problem at reasonable time. Three problems were evaluated show proposed approach's computational efficiency performance. All experiments carried out within GCP's Dataproc, service allowing execution Apache Hadoop Spark tasks Google Cloud. The results tests obtained very significant promising.

Language: Английский

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