Integrating with Z numbers and linguistic D numbers in heterogeneous information-involvement multiple-criteria group design evaluation DOI
Jin Qi, Jie Hu,

Yinghong Peng

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 121818 - 121818

Published: Dec. 1, 2024

Language: Английский

Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI DOI Creative Commons

Abdullah M. Barasin,

Ammar Y. Alqahtani, Anas A. Makki

et al.

Logistics, Journal Year: 2024, Volume and Issue: 8(1), P. 10 - 10

Published: Jan. 12, 2024

Background: The retail sector has experienced significant growth in recent years, necessitating efficient supply chain management and sustainable logistics practices. Evaluating the performance of warehouses is crucial for meeting customer expectations enhancing operational efficiency. Methods: This study employed a combined multi-criteria decision-making (MCDM) approach, using group best–worst method (G-BWM) weighting criteria ranking alternatives based on trace-to-median index (RATMI) warehouse ranking. were cost, quality, time, productivity, safety. Data collected from four mega western region Saudi Arabia evaluation analysis. Results: MCDM approach provided valuable insights decision-makers experts. weights determined G-BWM, RATMI enabled their weighted scores. results highlight strengths weaknesses each warehouse, facilitating strategic planning, resource allocation, improvements. Conclusions: presents novel warehouses. implications effective processes, Furthermore, it serves as foundation future research, exploring additional dimensions enabling within broader context.

Language: Английский

Citations

8

An Integrated Approach of Fuzzy AHP-TOPSIS for Multi-Criteria Decision-Making in Industrial Robot Selection DOI Open Access
Ngoc Tien Tran, Van-Long Trinh, C.K. Chung

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(8), P. 1723 - 1723

Published: Aug. 16, 2024

In recent times, industrial robots have gained immense significance and popularity in various industries. They not only enhance labor safety reduce costs but also greatly improve productivity efficiency the production process. However, selecting most suitable robot for a specific process is complex task. There are numerous criteria to consider, often conflicting with each other, making decision-making challenging. order tackle this problem, multi-criteria (MCDM) method employed, which aids ranking decisions based on weights. traditional MCDM methods now considered outdated, researchers concentrating hybrid models that include multiple techniques problems effectively. This study presents an effective model integrates Fuzzy-AHP-TOPSIS evaluate choose best robot. The Fuzzy-AHP utilized establish set of weights evaluation criteria. Subsequently, proposed technique analyzes, prioritizes, chooses option from list factory. experimental results demonstrate by employing integrated fuzzy analytical hierarchy process, taking into account parameter expert judgment, identified worst alternatives factories. outcomes research possess significant implications selection can be applied fields cater requirements.

Language: Английский

Citations

6

Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach DOI
Ömer Faruk Görçün, Alptekin Ulutaş, Ayşe Topal

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124674 - 124674

Published: July 5, 2024

Language: Английский

Citations

5

Enhancing teacher recruitment and retention through decision-making models in education systems DOI Creative Commons

Tong Liu,

Dalian Liu

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 30, 2025

Teacher recruitment and retention remain critical challenges for education systems worldwide, with far-reaching implications educational quality institutional sustainability. Traditional approaches often fail to address the complexity of these issues, neglecting interplay multiple conflicting criteria inherent uncertainty in decision-making. This gap necessitates advanced decision-making frameworks that can effectively evaluate prioritize strategies improving teacher retention. To bridge this gap, study introduces a novel framework integrating intuitionistic fuzzy sets (IFSs) handle more effectively. The Entropy method is employed compute objective weights, while ranking comparison (RANCOM) determines subjective ensuring balanced consideration qualitative quantitative factors. weighted aggregated sum product assessment (WASPAS) then applied. validated through sensitivity analysis assess its robustness comparative establish superiority over traditional methods. results identify Golden Ticket Salary Plan [Formula: see text] as optimal strategy, achieving highest (0.3654), followed by (0.3487), (0.3485), (0.3400), (0.2976) (0.2707). order follows: text]. These findings highlight significance structured optimizing workforce management. provides valuable insights policymakers administrators, sustainable advancements

Language: Английский

Citations

0

A Comprehensive Review of Virtual Commerce Applications for the Metaverse: Open Issues, Challenges and Recommended Solution for Benchmarking DOI
Ghazala Bilquise, Khaled Shaalan, Manar Alkhatib

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: May 19, 2025

Language: Английский

Citations

0

An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics DOI
Ting‐Yu Chen

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102891 - 102891

Published: Oct. 1, 2024

Language: Английский

Citations

3

A fuzzy Delphi-AHP framework for identifying and prioritizing factors affecting students’ satisfaction in public high schools: Insights from the United Arab Emirates DOI Creative Commons

Hanan Elkadry,

Mohammad Shamsuzzaman, Sujan Piya

et al.

Journal of Engineering Research, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 1, 2023

The aim of this investigation is to identify and prioritize factors impacting students' contentment in public high schools within the United Arab Emirates (UAE). study employs a mixed-method research approach through framework integrating fuzzy Delphi method Analytic Hierarchy Process (AHP). This facilitates explicit prioritization factors, leading dependable results. reveals that most critical influencing satisfaction UAE are assessment various support services, such as cafeteria facilities, availability administrative personnel during office hours, pertinent information curriculum. Additionally, an appealing learning environment, convenient transportation, IT support, teachers' role especially friendliness/approachability also play vital roles. Though study's findings may not be universally applicable, they hold potential valuable reference for broader applications across diverse educational sectors geographic locations. Consequently, these outcomes provide deeper insights into satisfaction, enabling school administrations develop comprehensive guidelines optimizing services offered their students.

Language: Английский

Citations

4

Prioritizing Strategic Objectives and Projects in Higher Education Institutions: A New Hybrid Fuzzy MEREC-G-TOPSIS Approach DOI Creative Commons

Reda Abdelaal,

Anas A. Makki, Ebtissam M. Al‐Madi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 89735 - 89753

Published: Jan. 1, 2024

Higher education institutions (HEIs) aim to achieve a significant impact on research, learning, teaching, and community services, which are core elements of their strategic plans. Determining the priorities objectives related projects is crucial for successful implementation HEIs' However, such prioritization necessitates use effective methods capable dealing with several conflicting criteria in ambiguous inputs from decision-makers. Therefore, this study proposes new integrated approach prioritizing plans HEIs. The proposed utilizes hybrid fuzzy method based removal effects using geometric mean (fuzzy MEREC-G) technique order preference by similarity ideal solution TOPSIS). was tested transformation plan at one Saudi Arabian universities showed that it effectively prioritizes university's plan. Sensitivity analysis demonstrated approach's stability providing consistent rankings under different weights. offers decision-makers HEIs an tool assists

Language: Английский

Citations

1

A total distance ranking approach to fuzzy AHP-based MCDM method for selecting sustainable manufacturing facility location DOI

Thi Bich Ha Nghiem,

Ta‐Chung Chu

Journal of Intelligent & Fuzzy Systems, Journal Year: 2023, Volume and Issue: 46(2), P. 3085 - 3115

Published: Dec. 15, 2023

Selecting a sustainable facility location is crucial strategy for manufacturing companies to achieve long-term success in today’s competitive environment. Various quantitative and qualitative criteria with different importance multiple level structure must be considered aggregated assist the company decision-making. How determine these weights select locations have become research questions. To resolve this problem, paper proposes total distance ranking approach fuzzy analytic hierarchical process (AHP)-based decision-making (MCDM) method. Currently, membership functions of weighted ratings MCDM multilevel cannot developed. A method needed defuzzify those numbers used AHP better executing procedure. The related centroid on x-axis, y-axis distances centroids point two tangent lines number are proposed approach. Formulas will presented, some properties investigated derive formulas trapezoidal triangular numbers. comparison relevant methods made show advantages then applied linguistic values under obtain multi-level crisp criteria, respectively. final scores alternatives can obtained by aggregating their corresponding simple additive weighting result. numerical example conducted effectiveness model. Finally, Best-Worst (BWM) presented persuasiveness

Language: Английский

Citations

2

Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine‐Based Modeling Approach DOI Creative Commons
Ghazala Bilquise, Khaled Shaalan, Manar Alkhatib

et al.

Human Behavior and Emerging Technologies, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

The rise of the metaverse has ignited a surge interest among researchers and decision‐makers, seeking to develop effective virtual commerce (v‐commerce) applications that cater business demands customer preferences. v‐commerce, an emerging concept, redefines future shopping experiences customer‐product interactions. While businesses are actively exploring potential immersive technologies deliver captivating engaging experiences, there remains lack consensus on what constitutes ideal v‐commerce experience how identify optimal stores effectively. Considering this, benchmarking for is crucial its development. This endeavor falls within realm multiple‐criteria decision‐making, given various critical issues such as multitude design attributes, uncertainty regarding their relative importance, data variability. study proposes innovative approach extends fuzzy‐weighted zero‐inconsistency (FWZIC) method with spherical linear Diophantine fuzzy sets (FSs) (SLDFSs) determine weights attributes. obtained integrated ranking alternatives by trace median index (RATMI) select application metaverse. Criterion weighting results reveal “ease navigation” “recommendation agents” most significant criteria in assessing solutions. Based these results, 24 solutions were evaluated. Additionally, sensitivity analysis comparative evaluation used assess robustness validity proposed framework. research provides essential insights decision‐makers practitioners facilitate growth, consumer satisfaction, further this domain.

Language: Английский

Citations

0