Development of a Decision Support System for Urban Planning by Using K-means ++ Algorithm
DOI:
https://doi.org/10.23851/mjs.v31i3.721Keywords:
Decision Making, Decision Support System –Urban Planning, Data Mining, K-Means .Abstract
This article depicts a decision support system (DSS) devoted to the coordinated administration of urban frameworks. This framework defines the information and related treatments normal to a few civil managers and characterizes the necessities and functionalities of the PC devices created to enhance the conveyance, execution, and coordination of metropolitan administrations to the populace. The cooperative framework called Decision Support System for Urban Planning (DSS-UP) is made out of a universal planning and coordination framework. So, it helps the decision-making process, a DSS was created as a learning-based framework gave derivation components that empower urban architect to settle on key decisions as far as specialized meditations on civil foundations. The learning-based framework stores experts_ information and additionally answers for past issues. Preparatory execution comes about demonstrate that DSS-UP viably and effectively underpins the decision-making process identified with overseeing urban foundations by using K-means++ data mining algorithm.Downloads
References
J. Coutinho-Rodrigues , A. Sim?o , C. H., Antunes, "A GIS-based multicriteria spatial decision support system for planning urban infrastructures", Decision Support Systems, 51 (3), PP:720-726, 2011.
M. Bottero, G. Mondani, A. Oppio, "Decision Support System for evaluating urban regeneration", procedia: social & behavioral sciences, Elsevier, (223), pp: 923-928, 2016.
A. Quintero, D. Konaré, S. Pierre, "Prototyping an intelligent decision support system for improving urban infrastructures management", European journal of operational research, 162 (3), PP, 654-672, 2005.
B.A., Bernstein, J. Geurtz, V.J., Koeman, "Evaluating the Effectiveness of Multi-Agent Organisational Paradigms in a Real-Time Strategy Environment", Engineering Multiagent Systems Track. In Proceedings of the 18th International Conference on Autonomous Agents and Multi Agent Systems, PP: 754-762, 2019.
A., Nowak-Brzezi?ska, "Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm", Complexity, (2018) , 2018.
E. Daniati, A. Nugroho, "K-Means Clustering With Decision Support System using SAW", IEEE International Conference on Control System, Computing and Engineering, PP: 25-27, 2016.
A., Masruro, F. W. Wibowo, "Intelligent Decision Support System For Tourism Planning Using Integration Model Of K-Means Clustering And Topsis", International Journal of Advanced Computational Engineering and Networking, PP: 52-57, 4 (1) , 2016.
A. S. Hussein, M. Mariana, F. Adina. "Analysis of Data Mining Tools Used for Water Resources Management in Tigris River", Advanced Management Science, 3(2), PP, 1-10, 2014.
X. Wu, V. Kumar, J. R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G.J. McLachlan, A. Ng, B. Liu, S.Y .Philip, Z.H. Zhou, "Top 10 algorithms in data mining", Knowledge and information systems, 14 (1), PP, 1-37.2008.
A. Banerjee, S. Merugu, I.S. Dhillon, J. Ghosh, "Clustering with Bregman divergences", Journal of machine learning research, 6 (Oct), PP, 1705-1749, 2005.
D. Wei, "A constant-factor bi-criteria approximation guarantee for k-means++". In Advances in Neural Information Processing PP: 604-612, 2016.
I.S. Dhillon, Y. Guan, B. Kulis, "Kernel k-means: spectral clustering and normalized cuts", In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, PP, 551-556, 2004.
O., Bachem, M., Lucic, S. H., Hassani, and A. Krause, "Approximate k-means++ in sublinear time", In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, PP: 1459-1467, 2016.
P. Negi, P. Sharma, V. Jain and B. Bahmani, "K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All", Network and Distributed Systems Security (NDSS) Symposium, PP: 1-13, 2018.
S. S. Keshkamat, J. M. Looijen, M. H. Zuidgeest, "The formulation and evaluation of transport route planning alternatives: a spatial decision support system for the Via Baltica project, Poland", Journal of transport geography, 17 (1), PP, 54-64, 2009.
D. Akin & S.Alasavar, "Modeling the change of urban spatial structures: Use interzonal travel data to estimate urban growth and expansion by hierarchal cluster analysis in E.V.",Ocalir-Akunal (Ed),Using decision support system for transportation planning efficiency ,2016.
J. Barton, J. Plume, B. Parolin, "Public participation in a spatial decision support system for public housing", Computers, Environment and Urban Systems, 29 (6), PP: 630-652, 2005.
A. Carvalho, "Decision Support Systems for Urban and Regional Planning", Environmental Systems, (3), PP: 207, 2010,
A. Yaakup, S.Z.A. Bakar, S. Susilawati, "Decision Support System for Urban Sustainability Planning in Malaysia", Malaysian Journal of Environmental Management 10 (1), PP, 101-117, 2009.
A.S. Hussein, M. Mariana, F Adina, "Development of a Prototype ArcGIS- Web- Based Decision Application DSS-UP: for Water Pollution Management", ECAI - International Conference - 7th Edition Electronics, Computers and Artificial Intelligence, IEEE, 25 June -27 June, PP, E-1, 2015.
J. R. Coutinho, A. Sim?o, C. H. Antunes, "A GIS-based multi criteria spatial decision support system for planning urban infrastructures", Decision support systems, 51 (3), PP,720-726.2011.
J. M. Druzdzel, R. R. Flynn and A. Kent, "Decision Support Systems Laboratory", School of Information Sciences and Intelligent Systems Program, University of Pittsburgh, Second Edition, New York, 2002.
Downloads
Key Dates
Published
Issue
Section
License
(Starting May 5, 2024) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
How to Cite
