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Volumn 10, Issue 7, 2015, Pages

Reconciliation of decision-making heuristics based on decision trees topologies and incomplete fuzzy probabilities sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CALCULATION; DECISION MAKING; DECISION TREE; FUZZY SYSTEM; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; PROBABILITY; REGRESSION ANALYSIS; TASK PERFORMANCE; DECISION SUPPORT SYSTEM; FUZZY LOGIC; HEURISTICS; HUMAN; PHYSIOLOGY; THEORETICAL MODEL;

EID: 84941309553     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0131590     Document Type: Article
Times cited : (9)

References (60)
  • 1
    • 84897621466 scopus 로고    scopus 로고
    • Gene tree correction for reconciliation and species tree inference: Complexity and algorithms
    • Dondi R, El-Mabrouk N, Swenson K. Gene tree correction for reconciliation and species tree inference: Complexity and algorithms. J Discrete Algorithms. 2013;25:51-65 doi: 10.1016/j.jda.2013.06.001
    • (2013) J Discrete Algorithms , vol.25 , pp. 51-65
    • Dondi, R.1    El-Mabrouk, N.2    Swenson, K.3
  • 2
    • 84901633329 scopus 로고    scopus 로고
    • Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach
    • Vats S, Vats G, Vaish R, Kumar V. Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach. Appl Soft Comput. 2014;21:444-452. doi: 10.1016/j. asoc.2014.04.006
    • (2014) Appl Soft Comput. , vol.21 , pp. 444-452
    • Vats, S.1    Vats, G.2    Vaish, R.3    Kumar, V.4
  • 3
    • 0036145215 scopus 로고    scopus 로고
    • Investor psychology in capital markets: Evidence and policy implications
    • Daniel K, Hirshleifer D, Teoh S. Investor Psychology in Capital Markets: Evidence and Policy Implications. J Monet Econ. 2011;48:139-209. doi: 10.1016/S0304-3932 (01) 00091-5
    • (2011) J Monet Econ. , vol.48 , pp. 139-209
    • Daniel, K.1    Hirshleifer, D.2    Teoh, S.3
  • 4
    • 79951721724 scopus 로고    scopus 로고
    • Methods for automatic control, observation, and optimization in mineral processing plants
    • Hodouin D. Methods for automatic control, observation, and optimization in mineral processing plants. J Process Control. 2011;21:211-225. doi: 10.1016/j.jprocont.2010.10.016
    • (2011) J Process Control. , vol.21 , pp. 211-225
    • Hodouin, D.1
  • 5
    • 44149109378 scopus 로고    scopus 로고
    • Familiarity, home bias and investors' reactions to 20-F reconciliation gains and losses and perceptions of the quality of accounting principles
    • Maroney J, McGarry C, Óh Ógartaigh C. Familiarity, home bias and investors' reactions to 20-F reconciliation gains and losses and perceptions of the quality of accounting principles. Br Account Rev. 2008;40:103-122. doi: 10.1016/j.bar.2008.01.001
    • (2008) Br Account Rev. , vol.40 , pp. 103-122
    • Maroney, J.1    McGarry, C.2    Óh Ógartaigh, C.3
  • 6
    • 84869094914 scopus 로고    scopus 로고
    • Dynamic data reconciliation in mineral and metallurgical plants
    • Vasebi A, Poulin É, Hodouin D. Dynamic data reconciliation in mineral and metallurgical plants. Annu Rev Control. 2012;36:235-243. doi: 10.1016/j.arcontrol.2012.09.005
    • (2012) Annu Rev Control. , vol.36 , pp. 235-243
    • Vasebi, A.1    Poulin, É.2    Hodouin, D.3
  • 7
    • 84859144390 scopus 로고    scopus 로고
    • Comprehensive decision tree models in bioinformatics
    • Stiglic G, Kocbek S, Pernek I, Kokol P. Comprehensive decision tree models in bioinformatics. PLoS ONE. 2012;7: s.e33812. doi: 10.1371/journal.pone.0033812
    • (2012) PLoS ONE , vol.7 , pp. se33812
    • Stiglic, G.1    Kocbek, S.2    Pernek, I.3    Kokol, P.4
  • 8
    • 84905736056 scopus 로고    scopus 로고
    • Pessimistic, optimistic, and minimax regret approaches for linear programs under uncertainty
    • Thipwiwatpotjana P, Lodwick W. Pessimistic, optimistic, and minimax regret approaches for linear programs under uncertainty. Fuzzy Optim Decis Mak. 2014;13:151-171. doi: 10.1007/s10700-013-9171-z
    • (2014) Fuzzy Optim Decis Mak , vol.13 , pp. 151-171
    • Thipwiwatpotjana, P.1    Lodwick, W.2
  • 9
    • 84898464526 scopus 로고    scopus 로고
    • Role of investment heterogeneity in the cooperation on spatial public goods game
    • 24632779
    • Yuan WJ, Xia CY. Role of Investment Heterogeneity in the Cooperation on Spatial Public Goods Game. PLoS One. 2014;9:e91012. doi: 10.1371/journal.pone.0091012 PMID: 24632779
    • (2014) PLoS One , vol.9 , pp. e91012
    • Yuan, W.J.1    Xia, C.Y.2
  • 10
    • 84902578838 scopus 로고    scopus 로고
    • Independent component analysis and decision trees for ECG holter recording de-noising
    • 24905359
    • Kuzilek J, Kremen V, Soucek F, Lhotska L. Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising. PLoS ONE. 2014;9:e98450. doi: 10.1371/journal.pone.0098450 PMID: 24905359
    • (2014) PLoS ONE , vol.9 , pp. e98450
    • Kuzilek, J.1    Kremen, V.2    Soucek, F.3    Lhotska, L.4
  • 11
    • 84914133447 scopus 로고    scopus 로고
    • Decision tree analysis of traditional risk factors of carotid atherosclerosis and a cutpoint-based prevention strategy
    • 25398126
    • Qin G, Luo L, Lv L, Xiao Y, Tu J, Tao L, et al. Decision tree analysis of traditional risk factors of carotid atherosclerosis and a cutpoint-based prevention strategy. PLoS ONE. 2014;9:e111769. doi: 10.1371/journal.pone.0111769 PMID: 25398126
    • (2014) PLoS ONE , vol.9 , pp. e111769
    • Qin, G.1    Luo, L.2    Lv, L.3    Xiao, Y.4    Tu, J.5    Tao, L.6
  • 12
    • 84905112741 scopus 로고    scopus 로고
    • On various ways of tackling incomplete information in statistics
    • Dubois D. On various ways of tackling incomplete information in statistics. Int J Approx Reason. 2014;55:1570-1574.
    • (2014) Int J Approx Reason , vol.55 , pp. 1570-1574
    • Dubois, D.1
  • 15
    • 80052033783 scopus 로고    scopus 로고
    • Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model
    • Lee Y, Li M, Yen T, Huang T. Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model. Expert Syst Appl. 2011;38:14407-14416. doi: 10.1016/j.eswa.2011. 04.088
    • (2011) Expert Syst Appl , vol.38 , pp. 14407-14416
    • Lee, Y.1    Li, M.2    Yen, T.3    Huang, T.4
  • 16
    • 84894565412 scopus 로고    scopus 로고
    • Building granular fuzzy decision support systems
    • Pedrycz W, Al-Hmouz R, Morfeq A, Balamash A. Building granular fuzzy decision support systems. Knowl Based Syst. 2014;58:3-10. doi: 10.1016/j.knosys.2013.07.022
    • (2014) Knowl Based Syst. , vol.58 , pp. 3-10
    • Pedrycz, W.1    Al-Hmouz, R.2    Morfeq, A.3    Balamash, A.4
  • 17
    • 84901824809 scopus 로고    scopus 로고
    • Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers
    • Zeinalkhani M, Eftekhari M. Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers. Info Sci. 2014;278:715-735. doi: 10.1016/j.ins.2014.03. 087
    • (2014) Info Sci. , vol.278 , pp. 715-735
    • Zeinalkhani, M.1    Eftekhari, M.2
  • 18
    • 2942703989 scopus 로고    scopus 로고
    • Analyzing the analysts: When do recommendations add value?
    • Jegadeesh N, Kim J, Krische S, Lee C. Analyzing the analysts: When do recommendations add value?. J Finance. 2004;59:1083-1124. doi: 10.1111/j.1540-6261.2004.00657.x
    • (2004) J Finance , vol.59 , pp. 1083-1124
    • Jegadeesh, N.1    Kim, J.2    Krische, S.3    Lee, C.4
  • 19
    • 84941269720 scopus 로고    scopus 로고
    • How do analysts use their earnings forecasts in generating stock recommendations?
    • Bradshaw M. How Do Analysts Use Their Earnings Forecasts in Generating Stock Recommendations?. SSRN Working Paper Series. 2004. doi: 10.2139/ssrn. 256438
    • (2004) SSRN Working Paper Series
    • Bradshaw, M.1
  • 20
    • 84863982889 scopus 로고    scopus 로고
    • An SIR model with infection delay and propagation vector in complex networks
    • Xia CY, Wang L, Sun S, Wang J. An SIR model with infection delay and propagation vector in complex networks. Nonlinear Dynamics. 2012;69:927-934. doi: 10.1007/s11071-011-0313-y
    • (2012) Nonlinear Dynamics , vol.69 , pp. 927-934
    • Xia, C.Y.1    Wang, L.2    Sun, S.3    Wang, J.4
  • 21
    • 67249101558 scopus 로고    scopus 로고
    • Epidemics of sirs model with nonuniform transmission on scale-free networks
    • Xia CY, Sun SW, Liu ZX, Chen ZQ, Yuan ZZ. Epidemics of sirs model with nonuniform transmission on scale-free networks. Int J Mod Phys B. 2009;23:2203-2213. doi: 10.1142/S021797920905211X
    • (2009) Int J Mod Phys B , vol.23 , pp. 2203-2213
    • Xia, C.Y.1    Sun, S.W.2    Liu, Z.X.3    Chen, Z.Q.4    Yuan, Z.Z.5
  • 22
  • 23
    • 84898005883 scopus 로고    scopus 로고
    • The discrimination power of molecular identification numbers revisited
    • Dehmer M, Grabner M. The Discrimination Power of Molecular Identification Numbers Revisited. Match-Commun Math Cmput Chem. 2013;69:785-794.
    • (2013) Match-commun Math Cmput Chem. , vol.69 , pp. 785-794
    • Dehmer, M.1    Grabner, M.2
  • 24
    • 84898764606 scopus 로고    scopus 로고
    • On sphere-regular graphs and the extremality of information-theoretic network measures
    • Kraus V, Dehmer M, Schutte M. On Sphere-Regular Graphs and the Extremality of Information-Theoretic Network Measures. Match-Commun Math Cmput Chem. 2013;70:885-900.
    • (2013) Match-commun Math Cmput Chem. , vol.70 , pp. 885-900
    • Kraus, V.1    Dehmer, M.2    Schutte, M.3
  • 25
    • 0023314059 scopus 로고
    • Bayesian and non-Bayesian evidential updating
    • Kyburg H. Jr. Bayesian and non-bayesian evidential updating. Artif Intell. 1987;31:271-293.
    • (1987) Artif Intell , vol.31 , pp. 271-293
    • Kyburg, H.1
  • 26
    • 84911914718 scopus 로고    scopus 로고
    • Non-invasive clinical parameters for the prediction of urodynamic bladder outlet obstruction: Analysis using causal Bayesian networks
    • 25397903
    • Kim M, Cheeti A, Yoo C, Choo M, Paick J, Oh S. Non-invasive clinical parameters for the prediction of urodynamic bladder outlet obstruction: analysis using causal bayesian networks. PLoS ONE. 2014;9:e113131. doi: 10.1371/journal.pone.0113131 PMID: 25397903
    • (2014) PLoS ONE , vol.9 , pp. e113131
    • Kim, M.1    Cheeti, A.2    Yoo, C.3    Choo, M.4    Paick, J.5    Oh, S.6
  • 27
    • 3142749910 scopus 로고    scopus 로고
    • The limitation of Bayesianism
    • Wang P. The limitation of Bayesianism. Artif Intel. 2004;158:97-106. doi: 10.1016/j.artint.2003.09.003
    • (2004) Artif Intel , vol.158 , pp. 97-106
    • Wang, P.1
  • 28
    • 84904752597 scopus 로고    scopus 로고
    • Ontology-aware prediction from rules: A reconciliation-based approach
    • Sais F, Thomopoulos R. Ontology-aware prediction from rules: A reconciliation-based approach. Knowl Based Syst. 2014;67:117-130. doi: 10.1016/j.knosys.2014.05.023
    • (2014) Knowl Based Syst. , vol.67 , pp. 117-130
    • Sais, F.1    Thomopoulos, R.2
  • 29
    • 84859218764 scopus 로고    scopus 로고
    • Computational reputation model based on selecting consensus choices: An empirical study on semantic wiki platform
    • Jung J. Computational reputation model based on selecting consensus choices: An empirical study on semantic wiki platform. Expert Syst Appl. 2012;39:9002-9007. doi: 10.1016/j.eswa.2012.02.035
    • (2012) Expert Syst Appl , vol.39 , pp. 9002-9007
    • Jung, J.1
  • 30
    • 1142288181 scopus 로고    scopus 로고
    • Efficient similarity-based operations for data integration
    • Schallehn E, Sattler K, Saake G. Efficient similarity-based operations for data integration. Data Knowl Eng. 2004;48:361-387. doi: 10.1016/j.datak.2003.08.004
    • (2004) Data Knowl Eng , vol.48 , pp. 361-387
    • Schallehn, E.1    Sattler, K.2    Saake, G.3
  • 31
    • 84883886925 scopus 로고    scopus 로고
    • Matching bills of materials using tree reconciliation
    • Kashkoush M, El Maraghy H. Matching Bills of Materials Using Tree Reconciliation. Procedia CIRP. 2013;7:169-174. doi: 10.1016/j.procir.2013.05.029
    • (2013) Procedia CIRP , vol.7 , pp. 169-174
    • Kashkoush, M.1    El Maraghy, H.2
  • 32
    • 36549071040 scopus 로고    scopus 로고
    • Data reconciliation: A robust approach using a contaminated distribution
    • Alhaj-Dibo M, Maquin D, Ragot J. Data reconciliation: A robust approach using a contaminated distribution. Control Eng Pract. 2008;16:159-170. doi: 10.1016/j.conengprac.2007.01.003
    • (2008) Control Eng Pract , vol.16 , pp. 159-170
    • Alhaj-Dibo, M.1    Maquin, D.2    Ragot, J.3
  • 33
    • 84901194917 scopus 로고    scopus 로고
    • Risk, uncertainty, and heuristics
    • Mousavi S, Gigerenzer G. Risk, uncertainty, and heuristics. J Bus Res. 2014;67:1671-1678. doi: 10. 1016/j.jbusres.2014.02.013
    • (2014) J Bus Res , vol.67 , pp. 1671-1678
    • Mousavi, S.1    Gigerenzer, G.2
  • 34
    • 84886715680 scopus 로고    scopus 로고
    • New heuristic approaches for the dominating tree problem
    • Sundar S, Singh A. New heuristic approaches for the dominating tree problem. Appl Soft Comput. 2013;13:4695-4703. doi: 10.1016/j.asoc.2013.07.014
    • (2013) Appl Soft Comput. , vol.13 , pp. 4695-4703
    • Sundar, S.1    Singh, A.2
  • 35
    • 44049120142 scopus 로고
    • Practical uncertainty assessment of reasoning paths (fault trees) under total uncertainty ignorance
    • Dohnal M, Vykydal J, Kvapilik M, Bures P. Practical uncertainty assessment of reasoning paths (fault trees) under total uncertainty ignorance. J Loss Prev Process Ind. 1992;5:125-131. doi: 10.1016/0950-4230 (92) 80009-W
    • (1992) J Loss Prev Process Ind , vol.5 , pp. 125-131
    • Dohnal, M.1    Vykydal, J.2    Kvapilik, M.3    Bures, P.4
  • 40
    • 0029415794 scopus 로고
    • The qualitative and semiqualitative analysis of environmental problems
    • Parsons S, Dohnal M. The qualitative and semiqualitative analysis of environmental problems. Environ Softw. 1995;10:75-85. doi: 10.1016/0266-9838 (95) 00008-9
    • (1995) Environ Softw , vol.10 , pp. 75-85
    • Parsons, S.1    Dohnal, M.2
  • 41
    • 33749363632 scopus 로고    scopus 로고
    • Integrating Bayesian networks and decision trees in a sequential rule-based transportation model
    • Janssens D, Wets G, Brijs T, Vanhoof K, Arentze T, Timmermans H. Integrating Bayesian networks and decision trees in a sequential rule-based transportation model. Eur J Oper Res. 2006;175:16-34. doi: 10.1016/j.ejor.2005.03.022
    • (2006) Eur J Oper Res , vol.175 , pp. 16-34
    • Janssens, D.1    Wets, G.2    Brijs, T.3    Vanhoof, K.4    Arentze, T.5    Timmermans, H.6
  • 44
    • 84874653609 scopus 로고    scopus 로고
    • Data reconciliation in a smart home sensor network
    • Monekosso D, Remagnino P. Data reconciliation in a smart home sensor network. Expert Syst Appl. 2013;40:3248-3255. doi: 10.1016/j.eswa.2012.12.037
    • (2013) Expert Syst Appl , vol.40 , pp. 3248-3255
    • Monekosso, D.1    Remagnino, P.2
  • 45
    • 73749088344 scopus 로고    scopus 로고
    • Quasi-weighted least squares estimator for data reconciliation
    • Zhang Z, Shao Z, Chen X, Wang K, Qian J. Quasi-weighted least squares estimator for data reconciliation. Comput Chem Eng. 2010;34:154-162. doi: 10.1016/j.compchemeng.2009.09.007
    • (2010) Comput Chem Eng , vol.34 , pp. 154-162
    • Zhang, Z.1    Shao, Z.2    Chen, X.3    Wang, K.4    Qian, J.5
  • 46
    • 84920706337 scopus 로고    scopus 로고
    • Fuzzy mixed-integer linear programming model for optimizing a multi-functional bioenergy system with biochar production for negative carbon emissions
    • Ubando A, Culaba A, Aviso K, Ng D, Tan R. Fuzzy mixed-integer linear programming model for optimizing a multi-functional bioenergy system with biochar production for negative carbon emissions. Clean Technol Environ Policy. 2014;16:1537-1549. doi: 10.1007/s10098-014-0721-z
    • (2014) Clean Technol Environ Policy , vol.16 , pp. 1537-1549
    • Ubando, A.1    Culaba, A.2    Aviso, K.3    Ng, D.4    Tan, R.5
  • 47
    • 33845614796 scopus 로고    scopus 로고
    • Fuzzy data reconciliation in reacting and non-reacting process data for life cycle inventory analysis
    • Tan R, Briones L, Culaba A. Fuzzy data reconciliation in reacting and non-reacting process data for life cycle inventory analysis. J Clean Prod. 2007;15:944-949. doi: 10.1016/j.jclepro.2005.09.001
    • (2007) J Clean Prod , vol.15 , pp. 944-949
    • Tan, R.1    Briones, L.2    Culaba, A.3
  • 48
    • 0021424468 scopus 로고
    • Fuzzy linear programming problems with fuzzy numbers
    • Tanaka H, Asai K. Fuzzy linear programming problems with fuzzy numbers. Fuzzy Sets Syst. 1984;13:1-10. doi: 10.1016/0165-0114 (84) 90022-8
    • (1984) Fuzzy Sets Syst. , vol.13 , pp. 1-10
    • Tanaka, H.1    Asai, K.2
  • 49
    • 0028715054 scopus 로고
    • The meaning of probability in probabilistic safety analysis
    • Watson S. The meaning of probability in probabilistic safety analysis. Reliab Eng Syst Saf. 1994;45:261-269. doi: 10.1016/0951-8320 (94) 90142-2
    • (1994) Reliab Eng Syst Saf , vol.45 , pp. 261-269
    • Watson, S.1
  • 52
    • 0040370432 scopus 로고    scopus 로고
    • Two-phase approach for solving the fuzzy linear programming problems
    • Guua S, Wu Y. Two-phase approach for solving the fuzzy linear programming problems. Fuzzy Sets Syst. 1999;107:191-195. doi: 10.1016/S0165-0114 (97) 00304-7
    • (1999) Fuzzy Sets Syst. , vol.107 , pp. 191-195
    • Guua, S.1    Wu, Y.2
  • 53
    • 84950938520 scopus 로고
    • Grey linear programming, its solving approach, and its application
    • Huang G, Moore RD. Grey linear programming, its solving approach, and its application. Int J Syst Sci. 1993;24:159-172. doi: 10.1080/00207729308949477
    • (1993) Int J Syst Sci. , vol.24 , pp. 159-172
    • Huang, G.1    Moore, R.D.2
  • 55
    • 0034325203 scopus 로고    scopus 로고
    • A method to defuzzify the fuzzy number: Transportation problem application
    • Kikuchi S. A method to defuzzify the fuzzy number: Transportation problem application. Fuzzy Sets Syst. 2000;116:3-9. doi: 10.1016/S0165-0114 (99) 00033-0
    • (2000) Fuzzy Sets Syst. , vol.116 , pp. 3-9
    • Kikuchi, S.1
  • 56
    • 58349108697 scopus 로고    scopus 로고
    • Decision analysis of data mining project based on Bayesian risk
    • Nie G, Zhang L, Liu Y, Zheng X, Shi Y. Decision analysis of data mining project based on Bayesian risk. Expert Syst Appl. 2009;36:4589-4594. doi: 10.1016/j.eswa.2008.05.014
    • (2009) Expert Syst Appl , vol.36 , pp. 4589-4594
    • Nie, G.1    Zhang, L.2    Liu, Y.3    Zheng, X.4    Shi, Y.5
  • 59
    • 84889082685 scopus 로고    scopus 로고
    • Evolving decision trees with beam searchbased initialization and lexicographic multi-objective evaluation
    • Basgalupp MP, Barros RC, De Carvalho A, Freitas AA. Evolving decision trees with beam searchbased initialization and lexicographic multi-objective evaluation. Inf Sci. 2014;258:160-181. doi: 10. 1016/j.ins.2013.07.025
    • (2014) Inf Sci. , vol.258 , pp. 160-181
    • Basgalupp, M.P.1    Barros, R.C.2    De Carvalho, A.3    Freitas, A.A.4
  • 60
    • 84901799479 scopus 로고    scopus 로고
    • Extremality of degree-based graph entropies
    • Cao S, Dehmer M, Shi Y. Extremality of degree-based graph entropies. Inf Sci. 2014;278:22-33. doi: 10.1016/j.ins.2014.03.133
    • (2014) Inf Sci. , vol.278 , pp. 22-33
    • Cao, S.1    Dehmer, M.2    Shi, Y.3


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