Cargando…

Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence

Based on Theory of Evidence and reviewing research papers concerned, a concept model of knowledge sharing network among industrial cluster firms, which can be applied to assess knowledge sharing capacity, has been built. Next, the authors create a set of assessment index systems including twelve sub...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dai, Shengli, Zhang, Hailin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982475/ https://www.ncbi.nlm.nih.gov/pubmed/24795540 http://dx.doi.org/10.1155/2014/810782

Ejemplares similares

Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust
por: Wang, Xin, et al.
Publicado: (2016)

Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory
por: Yang, Bin, et al.
Publicado: (2020)

Dempster-Shafer Theory: Ηow Constraint Programming Can Help
por: Kaltsounidis, Alexandros, et al.
Publicado: (2020)

A modified belief entropy in Dempster-Shafer framework
por: Zhou, Deyun, et al.
Publicado: (2017)

Interval-valued belief entropies for Dempster–Shafer structures
por: Xue, Yige, et al.
Publicado: (2021)

Automatic Updates of Transition Potential Matrices in Dempster-Shafer Networks Based on Evidence Inputs
por: Dunham, Joel, et al.
Publicado: (2020)

Sensor Data Fusion for Accurate Cloud Presence Prediction Using Dempster-Shafer Evidence Theory
por: Li, Jiaming, et al.
Publicado: (2010)

A classifier-combined method for grading breast cancer based on Dempster-Shafer evidence theory
por: Liu, Zhou, et al.
Publicado: (2023)

A new correlation belief function in Dempster-Shafer evidence theory and its application in classification
por: Tang, Yongchuan, et al.
Publicado: (2023)

Novel Paradigm for Constructing Masses in Dempster-Shafer Evidence Theory for Wireless Sensor Network's Multisource Data Fusion
por: Zhang, Zhenjiang, et al.
Publicado: (2014)

A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
por: Pan, Dongbo, et al.
Publicado: (2014)

An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence
por: Shi, Jian-Yu, et al.
Publicado: (2018)

Standing-Posture Recognition in Human–Robot Collaboration Based on Deep Learning and the Dempster–Shafer Evidence Theory
por: Li, Guan, et al.
Publicado: (2020)

Comprehensive model development based on Dempster–Shafer evidence theory for pollution source analysis in chemical parks
por: Bai, XueShan, et al.
Publicado: (2023)

Process service quality evaluation based on Dempster-Shafer theory and support vector machine
por: Pei, Feng-Que, et al.
Publicado: (2017)

Dempster-Shafer Theory for the Prediction of Auxin-Response Elements (AuxREs) in Plant Genomes
por: Sghaier, Nesrine, et al.
Publicado: (2018)

Belief Interval of Dempster-Shafer Theory for Line-of-Sight Identification in Indoor Positioning Applications
por: Wu, Jinwu, et al.
Publicado: (2017)

Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach
por: Hamda, Nour El Imane, et al.
Publicado: (2023)

Dempster–Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing
por: Bezerra, Eduardo Devidson Costa, et al.
Publicado: (2021)

A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster–Shafer Evidence Theory for Uncertain Information Fusion
por: Tang, Yongchuan, et al.
Publicado: (2023)

Fusion of FNA-cytology and Gene-expression Data Using Dempster-Shafer Theory of Evidence to Predict Breast Cancer Tumors
por: Raza, Mansoor, et al.
Publicado: (2006)

A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster–Shafer Evidence Theory
por: Jiang, Wen, et al.
Publicado: (2017)

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer
por: Kim, Jae Kwon, et al.
Publicado: (2018)

Bearing Fault Diagnosis Based on a Hybrid Classifier Ensemble Approach and the Improved Dempster-Shafer Theory
por: Wang, Yanxue, et al.
Publicado: (2019)

A New Belief Entropy in Dempster–Shafer Theory Based on Basic Probability Assignment and the Frame of Discernment
por: Li, Jiapeng, et al.
Publicado: (2020)

Dempster-Shafer Parzen-Rosenblatt Hidden Markov Fields for Multichannel Image Segmentation
por: Boudaren, Mohamed El Yazid, et al.
Publicado: (2020)

Risk Assessment in Urban Large-Scale Public Spaces Using Dempster-Shafer Theory: An Empirical Study in Ningbo, China
por: Zhou, Jibiao, et al.
Publicado: (2019)

A multi-source information fusion approach in tunnel collapse risk analysis based on improved Dempster–Shafer evidence theory
por: Wu, Bo, et al.
Publicado: (2022)

A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory
por: Zangeneh Soroush, Morteza, et al.
Publicado: (2018)

Staging of Prostate Cancer Using Automatic Feature Selection, Sampling and Dempster-Shafer Fusion
por: Chandana, Sandeep, et al.
Publicado: (2009)

A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy
por: Pan, Qian, et al.
Publicado: (2019)

Time-Domain Data Fusion Using Weighted Evidence and Dempster–Shafer Combination Rule: Application in Object Classification
por: Khan, Md Nazmuzzaman, et al.
Publicado: (2019)

Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory
por: Si, Lei, et al.
Publicado: (2015)

Optimal unified combination rule in application of Dempster‐Shafer theory to lung cancer radiotherapy dose response outcome analysis
por: He, Yanyan, et al.
Publicado: (2016)

Determination of the optimal location for constructing solar photovoltaic farms based on multi-criteria decision system and Dempster–Shafer theory
por: Mokarram, Marzieh, et al.
Publicado: (2020)

Zero-Sum Matrix Game with Payoffs of Dempster-Shafer Belief Structures and Its Applications on Sensors
por: Deng, Xinyang, et al.
Publicado: (2017)

Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory
por: Singh, Rahul, et al.
Publicado: (2013)

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion
por: Khan, Md Nazmuzzaman, et al.
Publicado: (2019)

ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster–Shafer Theory
por: Eftekharian, Mohsen, et al.
Publicado: (2023)

RETRACTED ARTICLE: Picture fuzzy set-based decision-making approach using Dempster–Shafer theory of evidence and grey relation analysis and its application in COVID-19 medicine selection
por: Si, Amalendu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_hemvk7rh1sd2k51lbqtavh8055