Assessing Dimensions Influencing IoT Implementation Readiness in Industries: A Fuzzy DEMATEL and Fuzzy AHP Analysis

Journal of Soft Computing and Decision Analytics, Год журнала: 2023, Номер 1(1), С. 102 - 123

Опубликована: Авг. 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

Язык: Английский

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Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts

Applied Soft Computing, Год журнала: 2023, Номер 137, С. 110120 - 110120

Опубликована: Фев. 26, 2023

Язык: Английский

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

Journal of Soft Computing and Decision Analytics, Год журнала: 2024, Номер 2(1), С. 39 - 53

Опубликована: Янв. 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.

Язык: Английский

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

Computer and decision making., Год журнала: 2025, Номер 2, С. 374 - 405

Опубликована: Янв. 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.

Язык: Английский

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Evaluating Commuters' Travel Mode Choice Using the Z-Number Extension of Parsimonious Best Worst Method

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112918 - 112918

Опубликована: Фев. 1, 2025

Язык: Английский

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Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Decision Making Applications in Management and Engineering, Год журнала: 2023, Номер 6(1), С. 153 - 185

Опубликована: Апрель 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.

Язык: Английский

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Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network

Bioengineering, Год журнала: 2023, Номер 10(4), С. 495 - 495

Опубликована: Апрель 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.

Язык: Английский

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

Journal of Soft Computing and Decision Analytics, Год журнала: 2023, Номер 1(1), С. 219 - 237

Опубликована: Сен. 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.

Язык: Английский

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

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(22), С. 62121 - 62136

Опубликована: Март 20, 2023

Язык: Английский

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

Journal of Soft Computing and Decision Analytics, Год журнала: 2023, Номер 1(1), С. 80 - 101

Опубликована: Авг. 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.

Язык: Английский

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