Uncertainty in Dynamically Changing Input Data

The main objective of multiple criteria decision making models is to select an alternative, from a finite number, regarding a set of pre-defined criteria. Usually, this type of problems includes two main tasks, rating the alternatives regarding each criterion and then ranking them. Once a decision is made (alternative selected) the problem is solved. However, for situations involving reaching consensus or requiring several steps before reaching a final decision, we must consider a dynamic and adaptable decision model, which considers previous solutions.

[1]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[2]  Ronald R. Yager,et al.  Full reinforcement operators in aggregation techniques , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[3]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[4]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[5]  Ronald R. Yager,et al.  Uninorm aggregation operators , 1996, Fuzzy Sets Syst..

[6]  Rita Almeida Ribeiro.  Fuzzy multiple attribute decision making: A review and new preference elicitation techniques , 1996, Fuzzy Sets Syst..

[7]  Rita A. Ribeiro,et al.  REGIONS RATING FOR SELECTING SPACECRAFT LANDING SITES , 2008 .

[8]  Rita Almeida Ribeiro,et al.  Aggregation with generalized mixture operators using weighting functions , 2003, Fuzzy Sets Syst..

[9]  George P. Richardson,et al.  Introduction to System Dynamics Modeling with DYNAMO , 1981 .

[10]  J. Townsend,et al.  Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.

[11]  Rita A. Ribeiro,et al.  Dynamic ranking algorithm for landing site selection , 2008 .

[12]  R. Dawes.  SOCIAL SELECTION BASED ON MULTIDIMENSIONAL CRITERIA. , 1964, Journal of abnormal psychology.

[13]  C. Hwang,et al.  Fuzzy Multiple Attribute Decision Making Methods , 1992 .

[14]  Diederich,et al.  Dynamic Stochastic Models for Decision Making under Time Constraints , 1997, Journal of mathematical psychology.

[15]  Y. Devouassoux,et al.  Hazard avoidance developments for planetary exploration , 2008 .

[16]  Witold Pedrycz,et al.  Data Mining Methods for Knowledge Discovery , 1998, IEEE Trans. Neural Networks.

[17]  Rita Almeida Ribeiro,et al.  Generalized mixture operators using weighting functions: A comparative study with WA and OWA , 2003, Eur. J. Oper. Res..

[18]  A. Diederich.  MDFT account of decision making under time pressure , 2003, Psychonomic Bulletin & Review.

[19]  J. Townsend,et al.  Multialternative Decision Field Theory: A Dynamic Connectionist Model of Decision Making , 2001 .