scholarly journals Effects of emotion on intertemporal decision-making: Explanation from the single dimension priority model

2022 ◽  
Vol 54 (2) ◽  
pp. 122
Author(s):  
Yuanping JIANG ◽  
Chengming JIANG ◽  
Tianyi HU ◽  
Hongyue SUN
Keyword(s):  
Decision Making ◽  
Single Dimension ◽  
Priority Model

scholarly journals Dimension-Specific Efficiency Measurement Using Data Envelopment Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hongjun Zhang ◽  
Youliang Zhang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Input Output ◽  
Single Dimension ◽  
Measuring Efficiency ◽  
Using Data ◽  
The City ◽  
Decision Making Units

Data envelopment analysis (DEA) is a powerful tool for evaluating and improving the performance of a set of decision-making units (DMUs). Empirically, there are usually many DMUs exhibiting “efficient” status in multi-input multioutput situations. However, it is not appropriate to assert that all efficient DMUs have equivalent performances. Actually, a DMU can be evaluated to be efficient as long as it performs best in a single dimension. This paper argues that an efficient DMU of a particular input-output proportion has its own specialty and may also perform poorly in some dimensions. Two DEA-based approaches are proposed to measure the dimension-specific efficiency of DMUs. One is measuring efficiency in multiplier-form by further processing the original multiplier DEA model. The other is calculating efficiency in envelopment-form by comparing with an ideal DMU. The proposed approaches are applied to 26 supermarkets in the city of Nanjing, China, which have provided new insights on efficiency for the managers.

Assessing Conflict Management in the Couple

2016 ◽  
Vol 25 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Stefania Mannarini ◽  
Laura Balottin ◽  
Cristina Munari ◽  
Michela Gatta
Keyword(s):  
Decision Making ◽  
Romantic Relationships ◽  
Conflict Management ◽  
Convergent Validity ◽  
Well Being ◽  
Heterosexual Couples ◽  
Interpersonal Conflicts ◽  
Single Dimension ◽  
Latent Dimension ◽  
Dysfunctional Relationships

Weak management of interpersonal conflicts can lead to dysfunctional relationships with relevant consequences for couple and family well-being. Our purpose was to devise a single dimension scale to assess conflict management in romantic relationships. We focused on five relevant conflict aspects: competition, collaboration, avoidance, accommodating attitude, and compromise. Study 1 ( N = 405) confirmed the existence of a single latent dimension, which was defined as the Conflict Management Scale (CMS), and consists of 8 items unbiased by gender. In Study 2 ( N = 205), the CMS convergent validity with attachment, empathic self-efficacy, satisfaction, and decision-making in the couple was analyzed. In Study 3 ( N = 120), the CMS was administered to 60 heterosexual couples in order to further examine the validity of the newly developed single dimension scale. Results showed that the CMS might be considered a valid and handy tool for planning couple and family therapies.

scholarly journals Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

2022 ◽  
Vol 11 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Sushil Kumar Sahoo ◽  
Bibhuti Bhusan Choudhury
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Electric Power ◽  
Entropy Method ◽  
Multi Criteria Decision Making ◽  
Optimal Selection ◽  
Cost Criterion ◽  
Priority Model ◽  
Weighting Technique ◽  
Selection Of

The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.

Emergency Medical Services Systems Issues: A Delphi Study

1992 ◽  
Vol 7 (1) ◽  
pp. 51-56
Author(s):  
Jonathan Chin ◽  
Mark E. Schario
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Emergency Medical Services ◽  
Detailed Analysis ◽  
Delphi Study ◽  
Medical Services ◽  
Decision Making Process ◽  
Emergency Medical ◽  
Leadership Research ◽  
Priority Model

AbstractA Delphi survey was conducted to determine the current and future issues facing emergency medical services systems. The information provided by this study can be used by individuals involved in emergency medical services systems for strategic planning and evaluation. The issues identified are categorized and listed by priority. A tiered priority model is utilized to represent the interrelations between these issues. Economics, leadership, research, and human resources are the foremost issues identified in this study. Further detailed analysis and refinement of these issues is recommended for local application. Emergency medical services systems need information to drive the decision-making process.

Incorporation of preferential uncertainty into interval-scale priority functions — a case of multicriteria forestry decision making

2009 ◽  
Vol 39 (8) ◽  
pp. 1498-1506 ◽  
Author(s):  
Pekka Leskinen ◽  
Jouni Pykäläinen ◽  
Arto Haara
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Decision Makers ◽  
Interval Scale ◽  
Interactive Approach ◽  
Planning Models ◽  
Global Priority ◽  
Priority Function ◽  
Many Sources ◽  
Priority Model

Quantitative decision analysis and respective planning models offer many benefits in forest planning. They are efficient, quick, inexpensive, objective, and repeatable. However, quantitative planning and the respective planning models also include many sources of uncertainty. In this paper our research objective is to analyse decision makers’ preferential uncertainty in the context of multicriteria forestry decision making by using statistical models for so-called interval-scale continuous decision problems. The models are based on 0–1-type utility functions by applying a Finnish school grading system for collecting the preference data. The basic idea is to assess the preferences at some discrete points and then estimate the continuous priority function according to the statistical estimation techniques. An interactive approach for reducing the preferential uncertainty included in the priority model is also developed. In the interactive step, the improvements of the priority model are based on uncertainty measures related to local and (or) global priority models. The role of statistical uncertainty analysis is to make the interactive planning process more efficient and reliable. The interactive and statistical approaches complement each other and promote decision makers’ learning.

scholarly journals Analytical Techniques for Decision Making on Information Security for Big Data Breaches

2018 ◽  
Vol 17 (02) ◽  
pp. 527-545 ◽  
Author(s):  
Aiiad Albeshri ◽  
Vijey Thayananthan
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Security ◽  
Access Control ◽  
Key Management ◽  
Analytical Techniques ◽  
Data Infrastructure ◽  
Online Systems ◽  
Data Breaches ◽  
Priority Model

In the big data processes, management and analytics are primary areas where we can introduce the decision making on information security to mitigate the big data breaches. According to the growing number of online systems and big data handling, mitigating the big data breaches is the serious problem during the processing period which needs to be monitored using appropriate technique. The goal of this research is to prevent the big data breaches using correct decision making based on information security concepts such as access control with authentication which depend on the management policies. The analytical approach of information security solution can also be useful for securing the big data infrastructure and key management that improve the big data breaches. As an analytical method, information security which focuses on detecting and securing the big data breaches is considered with access control. Here, we have introduced the multi-priority model influenced with the network calculus and access control which monitors the breaches during the big data processing. In the results and analysis, we can provide a graph which shows the monitoring improvement for decision making during the mitigation of big data breaches.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

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.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

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.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

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.

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