Adaptive Process Decision-Making with Simulation and Regression Models

Strategic Decision Making: Process, Models, and Theories

Micro-Process Models of Decision Making

Computational models are like the new kids in town for the field of decision making. This field is largely dominated by axiomatic utility theories (Bell, Raiffa, & Tversky, 1998; Luce, 2000) or simple heuristic rule models (Gigerenzer, Todd, & the ABC Research Group, 1999; Payne, Bettman, & Johnson, 1993). It is difficult for “the new kids” to break into this field for a very important reason: ...

Properties of fuzzy relations and aggregation process in decision making

In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is c...

Adaptive Expert Decision Making:

Previous research has suggested that depth of search in chess does not increase much as a function of skill. We submitted players to a problem-solving task with complex positions. We found a strong skill effect in depth of search, rate of search, and number of nodes generated. At the level of strong masters, the absolute values of these variables were much higher than in previous studies (somet...

Decision Making with the Analytic Network Process

One of the most advanced and complex multi-criteria decision-making methods is the analytic network process (ANP). This method supports modelling dependencies and feedback between elements in the network. For this reason, the ANP is one of the most appropriate methods for making decisions in fields that are characterised by existing dependencies of higher-level elements on lower level elements....