Assessing performance and satisfaction of micro-mobility in smart cities for sustainable clean energy transportation using novel APPRESAL method

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 436, P. 140372 - 140372

Published: Jan. 1, 2024

Language: Английский

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Battery swapping demand simulation for electric micromobility vehicles considering multi-source information interaction and behavior decision

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 414, P. 137525 - 137525

Published: May 25, 2023

Language: Английский

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Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 134, P. 108662 - 108662

Published: May 28, 2024

Language: Английский

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Systematic Literature Review on Electric Vehicles and Multicriteria Decision Making: Trends, Rankings, and Future Perspectives

Journal of Intelligent Management Decision, Journal Year: 2024, Volume and Issue: 3(1), P. 22 - 41

Published: March 12, 2024

The paradigm shift towards sustainable transportation underscores the burgeoning focus on electric vehicles (EVs) as a viable alternative to combustion-powered counterparts. Concurrently, corpus of scholarly publications exploring this domain has expanded, endeavoring address multifaceted challenges across various disciplines. Among methodologies enlisted, Multi-criteria Decision Analysis (MCDM) emerges pivotal tool for decision-makers, facilitating resolution complex problems characterized by multiple criteria and alternatives. This research employs modified Systematic Literature Review (SLR) methodology, integrating Analytical Hierarchical Process (AHP) Technique Order Preference Similarity Ideal Solution (TOPSIS) article ranking. novel approach not only enhances precision ranking process but also earmarks articles exerting substantial influence landscape. exhaustive review culminates in curated portfolio 73 seminal articles, with pronounced emphasis Charging Stations applications, accounting approximately 42.46% collective focus. study's findings illuminate prevailing trends within nexus EV MCDM, delineating trajectory future inquiries applications. In doing so, it indispensable role MCDM navigating complexities inherent transition electrified mobility solutions. meticulous application SLR augmented AHP TOPSIS, refines academic discourse paves way more structured impactful exploration EVs realm transportation.

Language: Английский

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Interpreting the Determinants of Sensitivity in MCDM Methods with a New Perspective: An Application on E-Scooter Selection with the PROBID Method

Spectrum of Engineering and Management Sciences, Journal Year: 2024, Volume and Issue: 2(1), P. 17 - 35

Published: March 13, 2024

TIt is not a desirable situation when input parameters excessively affect the results of system as well imply unwarranted drift and inefficiency. This situation, which expresses dependence or sensitivity to inputs, also considered problem in multi-criteria decision-making (MCDM) methodology family, has more than 200 members. A newly produced MCDM method first subjected tests. methods are generally evaluated for their weighting methods. Sensitivity affected by many different such data, normalization, fundamental equation, distance type. The common methodical approach analysis check whether best alternative changes with alteration weight coefficients. It problematic identify only where ranking position changes. In this study, entire based on holistic view. Moreover, classical method, there no reference point sensitivity. Each result compared each other it claimed that produces rankings significantly from others poor. We reinterpret using relationship between dynamic MCDM-based performance static price towards selection an environmentally friendly, traffic-saving electric scooter. Two PROBID variants CODAS used study deepen accuracy comparison. Additionally, how four types six normalization measured statistical framework. finding total 72 striking: If high, correlation external anchor (price) low. Conversely, if sentiment low, high results. These matching patterns unique discovery work.

Language: Английский

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Framework for multi-criteria assessment of classification models for the purposes of credit scoring

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

Published: June 2, 2023

The main dilemma in the case of classification tasks is to find-from among many combinations methods, techniques and values their parameters-such a structure classifier model that could achieve best accuracy efficiency. aim article develop practically verify framework for multi-criteria evaluation models purposes credit scoring. based on Multi-Criteria Decision Making (MCDM) method called PROSA (PROMETHEE Sustainability Analysis), which brought added value modelling process, allowing assessment classifiers include consistency results obtained training set validation set, data acquired different time periods. study considered two aggregation scenarios TSC (Time periods, Sub-criteria, Criteria) SCT (Sub-criteria, Criteria, Time periods), very similar were models. leading positions ranking taken by borrower using logistic regression small number predictive variables. rankings compared assessments expert team, turned out be similar.

Language: Английский

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Remote Work in Post-Pandemic Reality—Multi-Criteria Evaluation of Teleconferencing Software

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 9919 - 9919

Published: June 21, 2023

The pandemic period has made remote work a reality in many organizations. Despite the possible negative aspects of this form work, employers and employees appreciate its flexibility effectiveness. Therefore, are looking for most optimal tools to support work. However, may be difficult due their complexity, different functionality, or conditions company’s operations. Decisions on choice given solution usually group decision makers. Often subjective assessments differ from each other, making it even more make decision. aim article is propose methodological supporting assessment popular teleconferencing systems generating ranking. feature solutions combination two important facilitating selection process. first one concerns possibility taking into account quantitative qualitative criteria expressed linguistically an uncertain nature (NEAT F-PROMETHEE method). second related experts, including consensus study between them (PROSA GDSS use these combined methods assess platforms create ranking indicate that best meets adopted (based experts’ opinions). Microsoft Teams system turned out solution, whose usability, multi-platform aspect other elements crucial context overall assessment. results obtained guideline managers makers facing tool

Language: Английский

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A Hybrid MOO, MCGDM, and Sentiment Analysis Methodologies for Enhancing Regional Expansion Planning: A Case Study Luwu - Indonesia

International Journal of Mathematical Engineering and Management Sciences, Journal Year: 2025, Volume and Issue: 10(1), P. 163 - 188

Published: Jan. 1, 2025

The study introduces a new framework integrating Multi Objective Optimization (MOO), Criteria Group Decision Making (MCGDM), and sentiment analysis to improve regional expansion planning, particularly in developing countries. addresses challenges such as governance, resource allocation, public inclusion, aiming make decision-making more transparent adaptive. involves government agencies, experts, communities using relevant variables. model integrated 12 factors 27 criteria within the MOO, encompassing 5 regions 25 subdistricts MCGDM. Additionally, it analyzed 900 citizen comments through employed 9 indicators from 15 regions. results demonstrated high accuracy, achieving score of 0.98. demonstrates that hybrid approach optimizes planning by balancing technical sentiment, leading inclusive outcomes. lays solid foundation for future research practical application, making valuable contributions field decision science, beyond.

Language: Английский

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Sustainable benchmarking of e-scooter micromobility systems: A hybrid q-rung orthopair fuzzy score function and distance measure-based ranking approach

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 109934 - 109934

Published: Jan. 20, 2025

Language: Английский

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Micromobility Sharing's Effects on Economic Activities for Sustainable Development: Accessibility, Mobility, and Connectivity

Published: Jan. 1, 2025

Language: Английский

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