Decision Making and Policy Setting

2021 ◽  
pp. 323-344
Author(s):  
Raymond S. Nickerson
2018 ◽  
Vol 10 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Rudi Sutomo ◽  
Johny Hizkia Siringo Ringo

In the determination of employees who have the achievement required assessment of the assessment. There are several policy setting criteria to be able to prevent subjective decision-makers such as the influence of "likes and dislikes", so it is often wrong to judge employees. This paper is intended to provide a solution to the problem of choosing qualified and qualified employees using the AHP method and using decision support systems application Expert Choice to assist decision making in determining outstanding employees based on MBO method references. From the result of comparison of criteria weight that has been inputted and has been adjusted with comparison matrix Sub Criteria of Achievement then got that occupy the highest priority data that is consumer satisfaction with point 0,434, discipline with point 0,285, operational performance with point 0,071 and achievement with point 0,058 with inconsistency 0, 03 with 0 missing judgments. The results of AHP calculations will be applied to produce the highest intensity of employee priority outputs so that employees with the highest score are eligible for rewards or rewards. Index Terms—AHP, Aplikasi Expert Choice, MBO, SPK


2014 ◽  
Vol 52 (3) ◽  
pp. 799-804
Author(s):  
John Geweke

Public policy setting often involves quantitative choices with quantitative outcomes. Yet unqualified statements about the precise consequences of alternative choices characterize much of the policy analysis bearing on these decisions. Public Policy in an Uncertain World: Analysis and Decisions by Charles F. Manski characterizes and richly illustrates the nature of this unwarranted certitude. It details specific constructive alternatives on which the economics profession has achieved varying degrees of consensus. Those in our profession charged with the education of future policy analysts should consider using it and how to round out its presentation of decision making from their own perspective. (JEL D02, D04, D80, E61)


2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.


2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2014 ◽  
Vol 38 (01) ◽  
pp. 46
Author(s):  
David R. Shanks ◽  
Ben R. Newell

2014 ◽  
Vol 38 (01) ◽  
pp. 48
Author(s):  
David R. Shanks ◽  
Ben R. Newell

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


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