An Adjusted Decision Support System through Data Mining and Multiple Criteria Decision Making

Abstract Decision Support Systems (DSS) is a specific class of computerized information system that support business and organizational decision making activities. In the other hand, Data Mining (DM) extends the possibilities for decision support by discovering patterns and relationships hidden in the data and therefore enabling an inductive approach to data analysis. Also, Multiple Criteria Decision Making (MCDM) is concerned with structuring and solving decision and planning problems involving multiple criteria. In this paper an approach is introduced to integrate the DSS with DM and MCDM methods. It causes to synergy of DSS, through getting more options to analysis, using expert's information, and improving evaluation process.

[1]  Zhang Jia,et al.  Research on Data Preprocessing In Credit Card Consuming Behavior Mining , 2012 .

[2]  D. Senthil Kumar,et al.  Decision Support System for Medical Diagnosis Using Data Mining , 2011 .

[3]  Microsoft Research,et al.  Database technology for decision support systems - Computer , 2001 .

[4]  Wei Yang,et al.  A new multiple criteria decision making method based on intuitionistic fuzzy information , 2012, Expert Syst. Appl..

[5]  Jianping Li,et al.  An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making , 2011, Decis. Support Syst..

[6]  Sylvain Delisle,et al.  Bridging the gap between data mining and decision support: A case-based reasoning and ontology approach , 2008, Intell. Data Anal..

[7]  Shaofeng Liu,et al.  Integration of decision support systems to improve decision support performance , 2010, Knowledge and Information Systems.

[8]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[9]  Nada Lavrac,et al.  Data mining and visualization for decision support and modeling of public health-care resources , 2007, J. Biomed. Informatics.

[10]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[11]  Nihan Çetin Demirel,et al.  Group decision making process for insurance company selection problem with extended VIKOR method under fuzzy environment , 2012, Expert Syst. Appl..

[12]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[13]  David Bawden.  Data Mining and Decision Support: Integration and Collaboration , 2005, J. Documentation.

[14]  Dmitry Podkopaev,et al.  Interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy , 2012, Eur. J. Oper. Res..

[15]  Surajit Chaudhuri,et al.  Database Technology for Decision Support Systems , 2001, Computer.

[16]  David E. Robbins,et al.  CLINICAL APPLICATIONS AND DATA MINING , 2011 .

[17]  Jiawei Han,et al.  Data Mining: Concepts and Techniques, Second Edition , 2006, The Morgan Kaufmann series in data management systems.

[18]  John Dowell.  User Interface Design , 2008 .

[19]  M. Krisper,et al.  DMDSS: data mining based decision support system to integrate data mining and decision support , 2006, 28th International Conference on Information Technology Interfaces, 2006..

[20]  Browne,et al.  Cross-Validation Methods. , 2000, Journal of mathematical psychology.

[21]  Vivek Kumar,et al.  Multi-agent based decision Support System using Data Mining and Case Based Reasoning , 2011 .

[22]  Kalyanmoy Deb,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead , 2008, Manag. Sci..

[23]  ZhangYong,et al.  An incident information management framework based on data integration, data mining, and multi-criteria decision making , 2011 .

[24]  Hu Xiaoli,et al.  Research on Application of Data Mining Technology in Financial Decision Support System , 2010, 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering.

[25]  Vicki L. Sauter,et al.  Decision Support Systems: An Applied Managerial Approach , 1996 .

[26]  Dunja Mladenic,et al.  Data Mining and Decision Support , 2003 .

[27]  Sylvain Delisle.  Towards a better integration of data mining and decision support via computational intelligence , 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

[28]  Stphane Tuffry,et al.  Data Mining and Statistics for Decision Making , 2011 .

[29]  Andrew P. Sage.  Decision support systems engineering , 1991 .

[30]  Dunja Mladenic,et al.  Data mining and decision support : integration and collaboration , 2003 .

[31]  Marjan Krisper,et al.  Integrating Data Mining and Decision Support through Data Mining Based Decision Support System , 2007, J. Comput. Inf. Syst..

[32]  Leonid Churilov,et al.  Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners , 2009, Eur. J. Oper. Res..

[33]  D. Edwards.  Data Mining: Concepts, Models, Methods, and Algorithms , 2003 .

[34]  Amir Mosavi,et al.  Multiple Criteria Decision-Making Preprocessing Using Data Mining Tools , 2010, ArXiv.

[35]  Li Xiang-wei,et al.  A Data Preprocessing Algorithm for Classification Model Based On Rough Sets , 2012 .

[36]  Yong Zhang,et al.  An incident information management framework based on data integration, data mining, and multi-criteria decision making , 2011, Decis. Support Syst..

[37]  Constantin Zopounidis,et al.  Preference disaggregation and statistical learning for multicriteria decision support: A review , 2011, Eur. J. Oper. Res..

[38]  Rita Almeida Ribeiro,et al.  A framework for dynamic multiple-criteria decision making , 2011, Decis. Support Syst..

[39]  Gang Kou,et al.  An empirical study of classification algorithm evaluation for financial risk prediction , 2011, Appl. Soft Comput..