Mahima Gupta  B. K. Mohanty 《Journal of Multi-Criteria Decision Analysis》2016,23(3-4):160-170

This work introduces a methodology to find solutions corresponding to different purposes in a multiple attribute decision‐making problem under fuzzy environment. The discernment of purpose‐based solutions becomes important when the problem is defined vaguely and solution is targeted to heterogeneous population. Depending on the purpose, for which the solution is sought, the attributes are identified and weighted in an appropriate proportion. The level of similarity between a pair of attributes plays an important role to determine the aggregated value of attributes specific to a purpose. Our work determines the similarity levels between a pair of attributes by calculating their maximum attainability in presence of each other. The achievement of an attribute in presence of another is represented as a fuzzy set in the unit interval. The crisp equivalents of the fuzzy sets in the unit interval are used to define their simultaneous satisfaction denoted as 1‐step relation. The 1‐step relation is extended to (m‐1)‐step relation to calculate the degree of attainability of the same pair of attributes in the presence of m (all) attributes. The different levels of (m‐1)‐step relations generate several partitions of the attributes corresponding to multiple purposes in the multiple attribute decision‐making problems. The degree of fulfilment of the purposes in the alternatives are numerically derived by first taking weighted average of attributes within the equivalence classes of a partition and then aggregating the values corresponding to equivalence classes through ordered weighted averaging. The methodology is illustrated with a numerical example. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

    

Alexander Scherrer  Stefan Jakobsson  Karl‐Heinz Küfer 《Journal of Multi-Criteria Decision Analysis》2016,23(5-6):174-182

Focused ultrasound therapy (FUS) is a modern and promising way for minimally invasive cancer treatment. Recent advances in treatment technology, bio‐physical models, and numerical simulation methods have given rise to a significant curative potential. However, clinical routine of FUS still features classical planning approaches, which widely fail in exploiting this potential. The structure of FUS planning problems strongly suggests interactive multi‐criteria decision‐making concepts in order to improve treatment quality. This research work introduces an multi‐criteria decision‐making approach to FUS planning and explains how to bridge the conceptual gap between the clinical state of the art and this new planning paradigm.  相似文献   

    

Maria Franca Norese 《Journal of Multi-Criteria Decision Analysis》2016,23(5-6):183-196

A model‐based process is a methodological approach that facilitates interventions in new and ill or not structured problem situations. It is oriented towards improving the robustness of the intervention and its results in an incremental definition of both the problem formulation and the model, in order to reduce the uncertainty that is not only associated with the model parameters but also with the model structure, and sometimes also with the problem formulation. The nature and results of this approach, which consider the interaction between an analyst and the actors of the decision system as the decision aiding core, are proposed in relation to some actual interventions.  相似文献   

    

Anna N. Rafferty  Emma Brunskill  Thomas L. Griffiths  Patrick Shafto 《Cognitive Science》2016,40(6):1290-1332

Human and automated tutors attempt to choose pedagogical activities that will maximize student learning, informed by their estimates of the student's current knowledge. There has been substantial research on tracking and modeling student learning, but significantly less attention on how to plan teaching actions and how the assumed student model impacts the resulting plans. We frame the problem of optimally selecting teaching actions using a decision‐theoretic approach and show how to formulate teaching as a partially observable Markov decision process planning problem. This framework makes it possible to explore how different assumptions about student learning and behavior should affect the selection of teaching actions. We consider how to apply this framework to concept learning problems, and we present approximate methods for finding optimal teaching actions, given the large state and action spaces that arise in teaching. Through simulations and behavioral experiments, we explore the consequences of choosing teacher actions under different assumed student models. In two concept‐learning tasks, we show that this technique can accelerate learning relative to baseline performance.  相似文献   

    

Neil Stewart  Frouke Hermens  William J. Matthews 《决策行为杂志》2016,29(2-3):116-136

We asked participants to make simple risky choices while we recorded their eye movements. We built a complete statistical model of the eye movements and found very little systematic variation in eye movements over the time course of a choice or across the different choices. The only exceptions were finding more (of the same) eye movements when choice options were similar, and an emerging gaze bias in which people looked more at the gamble they ultimately chose. These findings are inconsistent with prospect theory, the priority heuristic, or decision field theory. However, the eye movements made during a choice have a large relationship with the final choice, and this is mostly independent from the contribution of the actual attribute values in the choice options. That is, eye movements tell us not just about the processing of attribute values but also are independently associated with choice. The pattern is simple—people choose the gamble they look at more often, independently of the actual numbers they see—and this pattern is simpler than predicted by decision field theory, decision by sampling, and the parallel constraint satisfaction model. © 2015 The Authors. Journal of Behavioral Decision Making published by John Wiley & Sons Ltd.  相似文献   

    

Marie Juanchich  Chris Dewberry  Miroslav Sirota  Sunitha Narendran 《决策行为杂志》2016,29(1):52-59

The Cognitive Reflection Test (CRT), designed to assess the ability to inhibit intuition to process a problem analytically, predicts people's performance in many normative judgement and decision‐making tasks (e.g., Bayesian reasoning, conjunction fallacy and ratio bias). However, how the CRT predicts normative decision‐making performance is unclear, and little is known about the extent to which the CRT predicts real‐life decision outcomes. We investigate the role of the CRT in predicting real‐life decision outcomes and examine whether the CRT predicts real‐life decision outcomes after controlling for two related individual differences: the Big Five personality traits and decision‐making styles. Our results show that greater CRT scores predict positive real‐life decision outcomes measured by the Decision Outcome Inventory. However, the effect size was small, and the relationship became non‐significant after statistically controlling for personality and decision‐making styles. We discuss the limited predictive role of cognitive reflection in real‐life decision‐making outcomes, along with the roles of personality and decision‐making styles. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

    

Lasana Harris  Victoria K. Lee  Elizabeth H. Thompson  Rachel Kranton 《决策行为杂志》2016,29(4):419-436

Substantial evidence in social psychology documents that traits predict behavior. Research in behavioral economics establishes prior behavioral information—the actual behavior of another person in the past—influences future decision making, suggestive of the role of traits in guiding future behavior, but agnostic to the specific psychological mechanism. Yet the entire generalization process from past behavior to predicting future behavior has not been fully explored. Additionally, previous paradigms do not adequately dissociate prediction from explanation, and provide participants with trait information, or rely on participants to generate the appropriate trait. Here, we combine literature and experimental approaches in social psychology and behavioral economics to explore the generalization process from prior behavior that guides future decisions. Across three studies utilizing consequential economic game paradigms and online questionnaires, an initial group of participants (employees) played a time estimation game and a charity donations game before a second group of participants (employers) viewed the behavior of the first group, then decided whether to invest in employees in a trust game and rock guessing game. Although participants infer trait warmth and competence from the behavioral information in the first two games, estimates of normative behavior predicted investment decisions on the warmth‐relevant games better than trait inferences. These results dissociate generalizations guided by warmth and competence behavioral information, and question the extent to which traits always serve as heuristics to predict behavior. Copyright © 2015 John Wiley & Sons, Ltd.  相似文献   

    

《Cognitive psychology》2016

Among the most fundamental results in the area of perceptual classification are the “correlated facilitation” and “filtering interference” effects observed in Garner’s (1974) speeded categorization tasks: In the case of integral-dimension stimuli, relative to a control task, single-dimension classification is faster when there is correlated variation along a second dimension, but slower when there is orthogonal variation that cannot be filtered out (e.g., by attention). These fundamental effects may result from participants’ use of a trial-by-trial bypass strategy in the control and correlated tasks: The observer changes the previous category response whenever the stimulus changes, and maintains responses if the stimulus repeats. Here we conduct modified versions of the Garner tasks that eliminate the availability of a pure bypass strategy. The fundamental facilitation and interference effects remain, but are still largely explainable in terms of pronounced sequential effects in all tasks. We develop sequence-sensitive versions of exemplar-retrieval and decision-bound models aimed at capturing the detailed, trial-by-trial response-time distribution data. The models combine assumptions involving: (i) strengthened perceptual/memory representations of stimuli that repeat across consecutive trials, and (ii) a bias to change category responses on trials in which the stimulus changes. These models can predict our observed effects and provide a more complete account of the underlying bases of performance in our modified Garner tasks.  相似文献   

    

Weijian Li  Haojie Ji  Fengying Li  Ping Li  Yuchi Zhang  Xinyu Li 《The British journal of educational psychology》2016,86(4):657-670

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J. S. Blumenthal-Barby 《The American journal of bioethics : AJOB》2016,16(5):5-15

Cognitive scientists have identified a wide range of biases and heuristics in human decision making over the past few decades. Only recently have bioethicists begun to think seriously about the implications of these findings for topics such as agency, autonomy, and consent. This article aims to provide an overview of biases and heuristics that have been identified and a framework in which to think comprehensively about the impact of them on the exercise of autonomous decision making. I analyze the impact that these biases and heuristics have on the following dimensions of autonomy: understanding, intentionality, absence of alienating or controlling influence, and match between formally autonomous preferences or decisions and actual choices or actions.  相似文献