scholarly journals Using Decision Theory Approach to Bulid a Model for Bayesian Sampling Plans

2012 ◽  
Vol 2 (6) ◽  
pp. 184-190
Author(s):  
Faris M. Al-athari ◽  
Dhwyia S. Hassan ◽  
Nathier A. Ibrahim ◽  
Hani Aziz Ameen
Keyword(s):  
Decision Theory ◽  
Theory Approach ◽  
Sampling Plans ◽  
Bayesian Sampling

The Measurement of Performance in Probabilistic Diagnosis IV. Utility Considerations in Therapeutics and Prognostics

1981 ◽  
Vol 20 (02) ◽  
pp. 80-96 ◽  
Author(s):  
J. D. F. Habbema ◽  
J. Hilden
Keyword(s):  
Decision Theory ◽  
Figure Of Merit ◽  
Acute Abdominal Pain ◽  
Theory Approach ◽  
Expected Loss ◽  
Patient Benefit ◽  
Evaluation Approach ◽  
Average Loss ◽  
Actual Decision ◽  
Probabilistic Diagnosis

It is argued that it is preferable to evaluate probabilistic diagnosis systems in terms of utility (patient benefit) or loss (negative benefit). We have adopted the provisional strategy of scoring performance as if the system were the actual decision-maker (not just an aid to him) and argue that a rational figure of merit is given by the average loss which patients would incur by having the system decide on treatment, the treatment being selected according to the minimum expected loss principle of decision theory.A similar approach is taken to the problem of evaluating probabilistic prognoses, but the fundamental differences between treatment selection skill and prognostic skill and their implications for the assessment of such skills are stressed. The necessary elements of decision theory are explained by means of simple examples mainly taken from the acute abdomen, and the proposed evaluation tools are applied to Acute Abdominal Pain data analysed in our previous papers by other (not decision-theoretic) means. The main difficulty of the decision theory approach, viz. that of obtaining good medical utility values upon which the analysis can be based, receives due attention, and the evaluation approach is extended to cover more realistic situations in which utility or loss values vary from patient to patient.

Construction Bidding Markup Estimation Using a Multistage Decision Theory Approach

2017 ◽  
Vol 143 (1) ◽  
pp. 04016079 ◽  
Author(s):  
Ibrahim S. Abotaleb ◽  
Islam H. El-adaway
Keyword(s):  
Decision Theory ◽  
Theory Approach

scholarly journals Decision theory approach to establishing an in-house histology laboratory in small hospitals

1984 ◽  
Vol 6 (2) ◽  
pp. 91-93
Author(s):  
Ik-Whan Kwon ◽  
Betty Yuen-Wah Yeung ◽  
Joe H. Kim ◽  
Jacqueline D. Frasca
Keyword(s):  
Decision Theory ◽  
Theory Approach

Is Creativity Incompatible with Orthodoxy?

1978 ◽  
Vol 6 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Dennis R. Ridley ◽  
Nathan A. Schroer
Keyword(s):  
Decision Theory ◽  
Religious Beliefs ◽  
Theory Approach ◽  
Decision Strategy ◽  
Scientific Creativity ◽  
Psychological Studies

Several psychological studies linking creativity with unorthodox religious beliefs were reviewed. The conclusion that orthodox belief and creativity are infrequently found together in our time and culture was accepted as probably valid but by no means inevitable. Scientific creativity was analyzed by applying a decision theory approach to scientific behavior. Outstanding scientific creativity was viewed as, in part, resulting from a decision strategy to “ Discover truth by any means” rather than to “Avoid error at all costs.” An important parallel between scientific creativity and the dynamics of faith was delineated, suggesting that an improved understanding of this kinship might remove some mental obstacles to creativity among orthodox believers in our culture.

scholarly journals Process estimation in qubit systems: a quantum decision theory approach

2019 ◽  
Vol 18 (7) ◽  
Author(s):  
Ivan Maffeis ◽  
Seid Koudia ◽  
Abdelhakim Gharbi ◽  
Matteo G. A. Paris
Keyword(s):  
Decision Theory ◽  
Theory Approach ◽  
Quantum Decision Theory

A Behavioral Decision Theory Approach to Modeling Dyadic Trust in Superiors and Subordinates

1984 ◽  
Vol 55 (1) ◽  
pp. 19-28 ◽  
Author(s):  
John K. Butler ◽  
R. Stephen Cantrell
Keyword(s):  
Decision Theory ◽  
Behavioral Decision Theory ◽  
Theory Approach ◽  
Dyadic Trust ◽  
Behavioral Decision ◽  
Management Students

The relative importances of five determinants of dyadic trust (integrity, competence, consistency, loyalty, and openness) were investigated from two perspectives: trust in superiors and trust in subordinates. Two experiments were designed from research on behavioral decision theory. The participants, 78 undergraduate management students, responded to cues that described hypothetical superiors (Exp. 1) and subordinates (Exp. 2). Responses indicated the amount of trust held in each of 32 superiors and 32 subordinates. Integrity, competence, and consistency were stronger than loyalty or openness as determinants of trust in one's superiors and in one's subordinates. There were no differences in the importance of any of the determinants of trust in one's subordinates versus one's superiors. Method considerations are discussed.

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