Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number DOI Open Access

Xunqian Xu,

Siwen Wang,

Fengyi Kang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2787 - 2787

Published: March 27, 2024

By choosing the right pavement maintenance plan, we can reduce resource utilization, environmental pollution, and extend road life, which is important for improving social sustainability. At present, selection of programs mostly adopts multiple attribute decision-making (MADA), in particular, analytic hierarchy process (AHP) often used. However, this method needs to use expert scoring data, leads strong subjectivity poor reliability. Therefore, it reduces science scheme selection. In order score obtain a more suitable scheme, paper applies multi-criteria that characterizes information by triangular fuzzy numbers (TFN) discrete decision space. Firstly, invite experts importance preventive technical solutions with respect indicators affecting solutions. Secondly, two similarity reliability are used quantitatively evaluate programs, respectively. Finally, compare weighted according overall possibility degree each program. actual cases, obtained 1.0002–0.0477, optimal solution fog sealing technology. The model applied be considered dimensions, scientifically scoring. best plan also quickly through simple calculation paper.

Language: Английский

Assessing Dimensions Influencing IoT Implementation Readiness in Industries: A Fuzzy DEMATEL and Fuzzy AHP Analysis DOI Creative Commons
Mahmoud Zahedian Nezhad, Javad Nazarian-Jashnabadi, Javad Rezazadeh

et al.

Journal of Soft Computing and Decision Analytics, Journal Year: 2023, Volume and Issue: 1(1), P. 102 - 123

Published: Aug. 29, 2023

The rapid growth of the information age and digital technologies has ushered in innovative concepts such as Industry 4.0, smart health, services, cities. Internet Things (IoT) technology emerged a crucial driver across domains, engaging businesses, platforms, industries. IoT encompasses holistic ecosystem value chain that necessitate evaluating influential dimensions for successful implementation. This research applies Fuzzy DEMATEL AHP methods to rank examine affecting implementation readiness. Findings underscore significance organizational factors, hard infrastructures, soft infrastructures critical dimensions. Attention strengthening aspects developing reliable facilitates integration. Additionally, while relatively less significant, environmental security privacy, data analytics, customer training contribute industry combined results provide insights decision-makers stakeholders involved implementation, guiding development appropriate strategies, resource allocation, enhancing operational efficiency. By comprehending interrelationships prioritizing industries can effectively prepare

Language: Английский

Citations

60
Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts DOI
Gholamreza Haseli, Ali Ebadi Torkayesh, Mostafa Hajiaghaei–Keshteli

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 137, P. 110120 - 110120

Published: Feb. 26, 2023

Language: Английский

Citations

46
Ranking Factors Affecting Sustainable Competitive Advantage from The Business Intelligence Perspective: Using Content Analysis And F-TOPSIS DOI Creative Commons

Arman Kazemi,

Zohre Kazemi,

Hamed Heshmat

et al.

Journal of Soft Computing and Decision Analytics, Journal Year: 2024, Volume and Issue: 2(1), P. 39 - 53

Published: Jan. 1, 2024

Sustainable competitive advantage, as a key factor in business success, ensures that the company is able to dominate market with differentiated products and services over long period of time. This advantage especially achieved through intelligence, since smart decisions, leveraging meaningful data analytics, continuous process improvement help maintain this experience sustainable growth. The aim study rank factors influencing from intelligence standpoint. research methodology consists two stages: qualitative quantitative. In first step, content analysis was performed extract indicators previous studies. second were ranked using F-TOPSIS method. Factors affecting viewpoint categorized into 5 criteria, including 27 sub-criteria. main criteria are customer relationship management, marketing, soft hard organizational factors, mental image product, respectively. sub-criteria each criterion ranked. most important sub-criterion effective interaction customers. feedback improvement. Among support senior management technology infrastructure. social responsibility.

Language: Английский

Citations

26
Evaluation and prioritization of artificial intelligence integrated block chain factors in healthcare supply chain: A hybrid Decision Making Approach DOI Creative Commons

Neda Seifi,

Erfan Ghoodjani,

Seyed Shabahang Majd

et al.

Computer and decision making., Journal Year: 2025, Volume and Issue: 2, P. 374 - 405

Published: Jan. 5, 2025

The integration of artificial intelligence and blockchain in healthcare promises a significant transformation data management, service quality improvement, increased patient security. Blockchain, by offering decentralized transparent platform, enhances the reliability security information. Meanwhile, intelligence, with its ability to analyse process data, helps identify patterns predict treatment outcomes. aim this study is Evaluation prioritization integrated factors supply chain using F-AHP F-DEMATEL. Following review previous studies, four criteria 23 sub-criteria were identified. In first step, these ranked method. second relationships among determined through F-DEMATEL, identifying causal effect criteria. results show that identified from "integration processes (C32)", "Provide fair (C31)", "health monitoring (C12)", "security medical (C34)", "clinical decision support (C21)" fifth, respectively. F-DEMATEL indicate are divided into categories, "stakeholder participation (C42)" "technology acceptance (C44)" being most important sub-criteria, while "monitoring (C15)" "patient-centered strategies (C22)" as sub-criteria. These findings suggest use AI-blockchain can lead improvements managing systems.

Language: Английский

Citations

11
Evaluating Commuters' Travel Mode Choice Using the Z-Number Extension of Parsimonious Best Worst Method DOI Creative Commons
Sarbast Moslem

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112918 - 112918

Published: Feb. 1, 2025

Language: Английский

Citations

5
Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets DOI Creative Commons
Shabnam Rahnamay Bonab, Gholamreza Haseli,

Hamed Rajabzadeh

et al.

Decision Making Applications in Management and Engineering, Journal Year: 2023, Volume and Issue: 6(1), P. 153 - 185

Published: April 9, 2023

Supplier selection process plays a vital role in supply chain management and is the most important variable its success. With increasing environmental considerations, organizations must consider sustainability considerations economic goals to protect environment. Furthermore, destructive effects of disruptions on performance companies have prompted organizational experts pay special attention concept resilience. This study developed an integrated approach based extended version Multi-Criteria Decision-Making (MCDM) methods spherical fuzzy (SFS) environment address sustainable resilient IoT supplier selection. In proposed approach, main criteria (i.e., resilience, sustainability) been used process. Then, these are weighted using SFS-Best-Worst Method (BWM), which reduces uncertainty pairwise comparisons. next step, 14 selected suppliers evaluated prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers multi-normalization algorithm reduce subjectivity normalized data. The results this shows pollution control risk-taking sub-criteria placed first second priorities, respectively. comparison SFS-TRUST with other MCDM sensitivity analysis demonstrates ranking stability various scenarios.

Language: Английский

Citations

41
Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network DOI Creative Commons
Abbas Bagherian Kasgari, Sadaf Safavi, Mohammadjavad Nouri

et al.

Bioengineering, Journal Year: 2023, Volume and Issue: 10(4), P. 495 - 495

Published: April 20, 2023

In recent years, there has been a growing interest in developing next point-of-interest (POI) recommendation systems both industry and academia. However, current POI strategies suffer from the lack of sufficient mixing details features related to individual users their corresponding contexts. To overcome this issue, we propose deep learning model based on an attention mechanism study. The suggested technique employs that focuses pattern’s friendship, which is responsible for concentrating relevant users. compute context-aware similarities among diverse users, our six each user as inputs, including ID, hour, month, day, minute, second visiting time, explore influences spatial temporal addition, incorporate geographical information into by creating eccentricity score. Specifically, map trajectory shape, such circle, triangle, or rectangle, different value. This attention-based evaluated two widely used datasets, experimental outcomes prove noteworthy improvement over state-of-the-art recommendation.

Language: Английский

Citations

39
A Comprehensive Evaluation Model for Smart Supply Chain Based on The Hybrid Multi-Criteria Decision-Making Method DOI Creative Commons

Arezo Vahidinia,

Aliakbar Hasani

Journal of Soft Computing and Decision Analytics, Journal Year: 2023, Volume and Issue: 1(1), P. 219 - 237

Published: Sept. 15, 2023

Enhancing the smartness of supply chain under influence information technology development at different levels can have a significant effect on its overall performance and favorable response to continuous changes in business environment wide network local global chains. Therefore, this study, important influential aspects been investigated via comprehensive assessment model. Then, evaluation criteria are prioritized using new combined multi-criteria decision-making method. For purpose, Iran Khodro Company has considered as case study. The identification selection based literature review experts' opinions Delphi by developed best-worst group fuzzy method, final prioritization proposed. Finally, improvement solutions is proposed Vikor main obtained results indicate importance cost, technology, security, customer relationship management, agility criteria.

Language: Английский

Citations

38
Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers DOI Open Access

Nafiseh Zafaranlouei,

Saeid Jafarzadeh Ghoushchi, Gholamreza Haseli

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(22), P. 62121 - 62136

Published: March 20, 2023

Language: Английский

Citations

33
A New Extended Approach to Reduce Admission Time in Hospital Operating Rooms Based on the FMEA Method in an Uncertain Environment DOI Creative Commons

Nazli Ghanbari Ghoushchi,

Koohyar Ahmadzadeh, Saeid Jafarzadeh Ghoushchi

et al.

Journal of Soft Computing and Decision Analytics, Journal Year: 2023, Volume and Issue: 1(1), P. 80 - 101

Published: Aug. 29, 2023

Operating rooms (ORs) are one of the essential hospital resources and optimal management can result in efficient OR usage. The admission time reduction before surgery ORs lead to on-time use ORs. This study addresses this issue by identifying main failure modes that cause delays conventional methodology known as Failure Mode Effects Analysis (FMEA) represents prevailing techniques utilized for purpose ascertaining within a given process. involves assignment numerical scores each mode, with intention utilizing resultant Risk Priority Number (RPN) facilitate identification said modes. However, RPN scoring has been criticized some deficiencies. proposes three-phase approach address shortcomings FMEA method. initial stage recognize assess crucial elements RPN. Following this, second employs Z-BWM technique expert insights determine weights five factors. Lastly, third phase, risks prioritized using proposed Z-ARAS method based on outputs previous phases. considers uncertainty determining factors assigns different them, while also taking into account reliability through Z-Number theory. Finally, comparing other traditional approaches, reinforces usefulness evaluating management.

Language: Английский

Citations

27