Developing a strategic framework for airline destination selection: A multi-criteria decision-making approach applied to Turkish airlines

Transportation Research Interdisciplinary Perspectives, Год журнала: 2025, Номер 29, С. 101322 - 101322

Опубликована: Янв. 1, 2025

Язык: Английский

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A hybrid approach based on magnitude-based fuzzy analytic hierarchy process for estimating sustainable urban transport solutions

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109112 - 109112

Опубликована: Авг. 16, 2024

Transport systems are pivotal in sustainable development, profoundly impacting social, environmental, and economic sustainability urban settings. Integrating decision support becomes imperative to underscore the necessity for change facilitate informed policy decisions based on current conditions. This study evaluates Budapest, Hungary's public transport system foster sustainability. Experts transportation field Budapest were engaged as evaluators. The employs newly developed Magnitude Based Fuzzy Analytic Hierarchy Process, chosen its accuracy computational efficiency compared existing methods. obtained results align with those from Modified Logarithmic Least Squares method, affirming reliability. Comparative sensitivity analyses validate, ensure consistency, test robustness of proposed model findings. concludes that introducing new buses emerges most viable solution enhancing service quality system. adopted a real dataset, application evaluation, recommendation an optimal offer insights into development.

Язык: Английский

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Adversarial Attacks in Machine Learning: Key Insights and Defense Approaches

Applied Data Science and Analysis, Год журнала: 2024, Номер 2024, С. 121 - 147

Опубликована: Авг. 7, 2024

There is a considerable threat present in genres such as machine learning due to adversarial attacks which include purposely feeding the system with data that will alter decision region. These are committed presenting different models way model would be wrong its classification or prediction. The field of study still relatively young and has develop strong bodies scientific research eliminate gaps current knowledge. This paper provides literature review defenses based on highly cited articles conference published Scopus database. Through assessment 128 systematic articles: 80 original papers 48 till May 15, 2024, this categorizes reviews from domains, Graph Neural Networks, Deep Learning Models for IoT Systems, others. posits findings identified metrics, citation analysis, contributions these studies while suggesting area’s further development robustness’ protection mechanisms. objective work basic background defenses, need maintaining adaptability platforms. In context, contribute building efficient sustainable mechanisms AI applications various industries

Язык: Английский

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Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications

International Journal of Computational Intelligence Systems, Год журнала: 2024, Номер 17(1)

Опубликована: Июнь 17, 2024

Abstract In the context of autism spectrum disorder (ASD) triage, robustness machine learning (ML) models is a paramount concern. Ensuring ML faces issues such as model selection, criterion importance, trade-offs, and conflicts in evaluation benchmarking models. Furthermore, development must contend with two real-time scenarios: normal tests adversarial attack cases. This study addresses this challenge by integrating three key phases that bridge domains fuzzy multicriteria decision-making (MCDM). First, utilized dataset comprises authentic information, encompassing 19 medical sociodemographic features from 1296 autistic patients who received diagnoses via intelligent triage method. These were categorized into one labels: urgent, moderate, or minor. We employ principal component analysis (PCA) algorithms to fuse large number features. Second, fused forms basis for rigorously testing eight models, considering scenarios, evaluating classifier performance using nine metrics. The third phase developed robust framework encompasses creation decision matrix (DM) 2-tuple linguistic Fermatean opinion score method (2TLFFDOSM) multiple-ML perspectives, accomplished through individual external group aggregation ranks. Our findings highlight effectiveness PCA algorithms, yielding 12 components acceptable variance. ranking, logistic regression (LR) emerged top-performing terms 2TLFFDOSM (1.3370). A comparative five benchmark studies demonstrated superior our across all six checklist comparison points.

Язык: Английский

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A novel dual-level multi-source information fusion approach for multicriteria decision making applications

Applied Intelligence, Год журнала: 2024, Номер 54(22), С. 11577 - 11602

Опубликована: Авг. 29, 2024

Язык: Английский

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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method

Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 7

Опубликована: Янв. 21, 2025

An infectious eye illness known as pink results in ocular redness, irritation, and mucus. Schools are an especially vulnerable region for dissemination because they can propagate that contagious disease quickly via direct or indirect interactions. Choosing the right medication to treat infection is typically thought of intricate multi-attribute group decision-making concern. The goal this research construct a framework assesses six treatment medications, including Bleph-10, Moxeza, Zymar, Romycin, Polytrim, Bacticin. constructed includes following scenario: (1) In contrast other types fuzzy sets, 2-tuple linguistic T -spherical set (2TL -SFS) looks be potent tool dealing with informational inconsistencies scenarios; (2) order render 2TL -SF accumulation details processing more flexible, addition, multiplication, scalar exponential laws predicated on Schweizer-Sklar collection t -conorms -norms described; (3) weighted average geometric operators then put forward employing aforementioned operations combine data; (4) subsequently, using newly developed (referred geometric), work enhances conventional aggregated sum product assessment (WASPAS) approach. computation procedure methodology thoroughly given rank alternatives; (5) confirm viability suggested approach, thorough computational simulation assessments conducted. examination existing compared demonstrate benefits analysis.

Язык: Английский

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Fuzzy Decision‐Making Framework for Evaluating Hybrid Detection Models of Trauma Patients

Expert Systems, Год журнала: 2025, Номер 42(3)

Опубликована: Фев. 13, 2025

ABSTRACT This study introduces a new multi‐criteria decision‐making (MCDM) framework to evaluate trauma injury detection models in intensive care units (ICUs). research addresses the challenges associated with diverse machine learning (ML) models, inconsistencies, conflicting priorities, and importance of metrics. The developed methodology consists three phases: dataset identification pre‐processing, hybrid model development, an evaluation/benchmarking framework. Through meticulous is tailored focus on adult patients. Forty were by combining eight ML algorithms four filter‐based feature‐selection methods principal component analysis (PCA) as dimensionality reduction method, these evaluated using seven weight coefficients for metrics are determined 2‐tuple Linguistic Fermatean Fuzzy‐Weighted Zero‐Inconsistency (2TLF‐FWZIC) method. Vlsekriterijumska Optimizcija I Kompromisno Resenje (VIKOR) approach applied rank models. According 2TLF‐FWZIC, classification accuracy (CA) precision obtained highest weights 0.2439 0.1805, respectively, while F1, training time, test time lowest 0.1055, 0.0886, 0.1111, respectively. benchmarking results revealed following top‐performing models: Gini index logistic regression (GI‐LR), decision tree (GI_DT), information gain (IG_DT), VIKOR Q score values 0.016435, 0.023804, 0.042077, proposed MCDM assessed examined systematic ranking, sensitivity analysis, validation best‐selected two unseen datasets, mode explainability SHapley Additive exPlanations (SHAP) We benchmarked against other benchmark studies achieved 100% across six key areas. provides several insights into empirical synthesis this study. It contributes advancing medical informatics enhancing understanding selection ICUs.

Язык: Английский

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Evaluating Challenges in Smart Transportation with Grey Theory-Based Multi-criteria Decision-Making

Studies in systems, decision and control, Год журнала: 2025, Номер unknown, С. 515 - 534

Опубликована: Янв. 1, 2025

Язык: Английский

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Advancing greenhouse gas emission reduction strategies: Integrating Multi-Criteria Decision-Making with Complex q-Rung Picture Fuzzy Sugeno–Weber Operators

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 151, С. 110621 - 110621

Опубликована: Март 29, 2025

Язык: Английский

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Evaluation of energy economic optimization models using multi-criteria decision-making approach

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124842 - 124842

Опубликована: Июль 26, 2024

Язык: Английский

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