Grey risky multi-attribute decision-making method based on regret theory and EDAS

2019 ◽  
Vol 9 (1) ◽  
pp. 101-113 ◽  
Author(s):  
Lili Qian ◽  
Sifeng Liu ◽  
Zhigeng Fang
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Decision Makers ◽  
Regret Theory ◽  
Ranking Problem ◽  
Content Type ◽  
Multi Attribute Decision Making ◽  
Method Of Evaluation ◽  
Regret Aversion ◽  
First Time

Purpose The purpose of this paper is to advance a new grey risky multi-attribute decision-making (RMADM) method from the perspective of regret aversion, which is based on the general grey numbers (GGNs) taking the form of kernel and degree of greyness. Design/methodology/approach First, the normalised grey decision-making matrix is obtained on the basis of kernel and greyness degree of GGNs. Then the regret theory is integrated into the decision-making process by constructing the grey perceived utility function based on GGNs. Finally, the method of evaluation based on distance from average solution (EDAS) is applied to handle with the ranking problem because of its efficiency, stability as well as simplicity. Findings GGNs have more powerful capacity in expressing uncertainty than interval grey numbers, so the method can solve a larger number of RMADM problems in uncertain and imprecise environments. Meanwhile, the method fully considers the psychological behaviour of the decision makers, which is more applicable to the real world. It is the supplement and perfection of the existing RMADM methods. Originality/value The RMADM problem, the grey regret-rejoice function and the EDAS method are all introduced for the first time with GGNs in the form of kernel and degree of greyness. At the same time, the EDAS method is also the first time to be used in combination with the grey RMADM method based on the regret theory.

Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Berger ◽  
Frank Daumann
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Predictive Power ◽  
Principal Component ◽  
Decision Makers ◽  
Decision Quality ◽  
Managerial Behavior ◽  
Managerial Decision ◽  
Content Type ◽  
Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

Altruism as a pathway to unethical action

2020 ◽  
Vol 36 (2) ◽  
pp. 235-247
Author(s):  
Michael Babula ◽  
Max Tookey ◽  
Glenn Muschert ◽  
Mark Neal
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Unethical Behavior ◽  
Design Methodology ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Self Esteem ◽  
Decision Makers ◽  
Content Type ◽  
The Poor

Purpose The purpose of this paper is to answer the question, “Can particular types of altruism influence people to make unethical decisions?” The purpose of seeking to answer this question is to better understand those cases in personal, public and commercial life whereby a decision-maker is influenced by what is widely perceived to be a positive thing – altruism – to make unethical choices. Design/methodology/approach An experiment was designed to test the influence of different categories of altruism on decision-making about whether to find another guilty for a regulatory transgression. This involved the establishment and running of a student panel at a UK university, which was given the task of determining the guilt or otherwise of two students accused of plagiarism – one from a poor background; one from a rich background. Through a survey of both the decision-makers and their judgments, and by analyzing the data using t-tests and Mann–Whitney tests, the associations between different categories of altruism and the decisions made could be ascertained. Findings A total of 70.7% of the participants voted “not-guilty” for the poor student, whereas 68.3% voted “guilty” for the wealthy student. This indicated that self-interested, namely, egoistic altruism complemented by social and self-esteem needs gratification was significantly associated with violating foundational ethical principles. Originality/value This is the first study to be done that attempts to evaluate the relationships between different categories of altruism and ethical decision-making. The findings here challenge aggregating all forms of empathy together when exploring the antecedents of unethical behavior.

Measuring engagement

2019 ◽  
Vol 27 (2) ◽  
pp. 1-3
Keyword(s):  
Decision Making ◽  
Employee Engagement ◽  
Design Methodology ◽  
Reading Time ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Single Scale ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This paper looks at different scales of measuring employee engagement. There is no previously agreed-upon single scale of measurement. This study uses the multi-criteria decision-making method to evaluate different choices and criteria, taking into account decision-makers’ judgments and preferences, to indicate which single scale would be the best to use for measuring employee engagement. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Learning disability and challenges in male prisons: programme screening evaluation

2019 ◽  
Vol 11 (1) ◽  
pp. 49-59
Author(s):  
Helen Wakeling ◽  
Laura Ramsay
Keyword(s):  
Decision Making ◽  
Learning Disability ◽  
Design Methodology ◽  
Screening Tool ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Makers ◽  
Screening Tools ◽  
Content Type ◽  
Effective Use

Purpose The purpose of this paper is to validate the learning screening tool (LST) and the adapted functioning checklist-revised (AFC-R) as screening tools to aid programme allocation, and to investigate whether programme decision makers were using the tools as per the guidance provided by HMPPS Interventions Services. Design/methodology/approach LST and AFC-R data were gathered for 555 men who had been assessed for programmes between 2015 and 2018 across eight prisons and one probation area. WAIS-IV IQ data were also gathered if completed. Findings The findings provide support for the use of the LST, and AFC-R in helping to make decisions about programme allocation. The LST and AFC-R correlate well with each other, and a measure of intellectual functioning (WAIS-IV). Those who were allocated to learning disability or challenges (LDC) programmes scored higher on the LST (greater problems) and lower on the AFC-R (lower functioning) compared to those allocated to mainstream programmes. The LST had adequate predictive validity. In the majority of cases, the correct procedures were followed in terms of using the tools for programme allocation. Research limitations/implications The sample size for examining the relationships between all three tools was limited. The research was also unable to take into consideration the clinical decision making involved in how the tools were interpreted. Originality/value This research contributes to the growing evidence about the effective use of LDC screening tools in forensic settings.

scholarly journals A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems

2019 ◽  
Vol 57 (9) ◽  
pp. 2501-2519 ◽  
Author(s):  
Morteza Yazdani ◽  
Pascale Zarate ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Distance Measure ◽  
Decision Making Process ◽  
High Agreement ◽  
Content Type ◽  
Multiplication Rule ◽  
Grey Relational Coefficient ◽  
Grey Relational ◽  
First Time

PurposeThe purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement.Design/methodology/approachThis paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process.FindingsThe authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm.Originality/valueThe algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.

Stochastic interval-grey number VIKOR method based on prospect theory

2015 ◽  
Vol 5 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Qingsheng LI ◽  
Ni Zhao
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Expected Utility Theory ◽  
Decision Makers ◽  
Vikor Method ◽  
Content Type ◽  
Multi Attribute Decision Making ◽  
Grey Number ◽  
Index Weight ◽  
Attribute Value

Purpose – The purpose of this paper is to deal with interval grey-stochastic multi-attribute decision-making problems. It proposes a VIKOR method based on prospect theory in which probabilities and the attribute value are both grey numbers. Design/methodology/approach – In the prospect theory the results values and probability weight are used while the utility and probability values in the expected utility theory, which the more realistically reflect and describe the decision makers on the optimal process. VIKOR method makes the decision acceptable superiority and decision process stability. At the same time, a new interval grey number entropy is put forward, which is used to calculate the index weight of unknown. Findings – The paper provides a VIKOR method based on prospect theory in which probabilities and the attribute value are both grey numbers. And the validity and feasibility of the method are illustrated by an example. Research limitations/implications – Although VIKOR is much closer to PIS than TOPSIS, at the same time VIKOR method can get the compromise solution with priority, researchers are encouraged to carry on comparative study further. Practical implications – The paper includes interval grey-stochastic multi-attribute decision-making method and implications. The validity and feasibility of the method are illustrated by a case. Originality/value – This paper proposes a VIKOR method based on prospect theory in which probabilities and the attribute value are both interval grey numbers. At the same time, a new interval grey number entropy is put forward, which is used to calculate the index weight of unknown.

Interval grey numbers based multi-attribute decision making method for supplier selection

Kybernetes ◽  
2014 ◽  
Vol 43 (7) ◽  
pp. 1064-1078 ◽  
Author(s):  
Naiming Xie ◽  
Jianghui Xin
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Decision Makers ◽  
Selection Problem ◽  
Content Type ◽  
Numerical Example ◽  
Possibility Degree ◽  
Multi Attribute Decision Making ◽  
Grey Number ◽  
Supplier Selection Problem

Purpose – The purpose of this paper is to study a novel grey possibility degree approach, which is combined with multi-attribute decision making (MADM) and applied MADM model for solving supplier selection problem under uncertainty information. Design/methodology/approach – The supplier selection problem is a typical MADM problem, in which information of a series of indexes should be aggregated. However, it is relatively easy for decision makers to define information in uncertainty, sometimes as a grey number, rather than a precise number. By transforming linguistic scale of rating supplier selection attributes into interval grey numbers, a novel grey MADM method is developed. Steps of proposed model were provided, and a novel grey possibility degree approach was proposed. Finally, a numerical example of supplier selection is utilized to demonstrate the proposed approach. Findings – The results show that the proposed approach could solve the uncertainty decision-making problem. A numerical example of supplier selection is utilized to demonstrate the proposed approach. The results show that the proposed method is useful to aggregate decision makers’ information so as to select the potential supplier. Practical implications – The approach constructed in the paper can be used to solving uncertainty decision-making problems that the certain value of the decision information could not collect while the interval value set could be defined. Obviously it can be utilized for other MADM problem. Originality/value – The paper succeeded in redefining interval grey number, constructing a novel interval grey number based MADM approach and providing the solution of the proposed approach. It is very useful to solving system forecasting problem and it contributed undoubtedly to improve grey decision-making models.

An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem

Kybernetes ◽  
2016 ◽  
Vol 45 (8) ◽  
pp. 1213-1231 ◽  
Author(s):  
Amin Mahmoudi ◽  
Soheil Sadi-Nezhad ◽  
Ahmad Makui ◽  
Mohammad Reza Vakili
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Distance Functions ◽  
Fuzzy Information ◽  
Content Type ◽  
Decision Making Problem ◽  
Promethee Method ◽  
Multi Attribute Decision Making ◽  
Fuzzy Linguistic ◽  
Practical Implications

Purpose The purpose of this paper is to extend the PROMETHEE method under typical hesitant fuzzy information for solving multi-attribute decision-making problem in which there is hesitancy among experts. Design/methodology/approach Different aggregation and distance functions were developed to deal with HFS. But it is rational that different operators applying in existing methods can produce different results. Also, it is difficult for decision makers to select suitable operators. To address the drawback, this paper develops the PROMETHEE method as an outranking approach to accommodate hesitant fuzzy information. Since the proposed method is constructed on the basis of the pair-wise comparisons, it is independent of the aggregation and distance functions. Findings To demonstrate the efficiency and accuracy of the proposed method, the authors provide a numerical example and a comparative analysis. The results indicate that outranking-based methods suggest a better ranking than the aggregation- and distance-based methods. Research limitations/implications The proposed approach does not consider the hesitant fuzzy linguistic information decision-making problem. Practical implications The proposed approach can be applied in many group decision-making problems in which there is hesitancy among experts. Originality/value This paper proposes an extension on PROMETHEE method under hesitant fuzzy information, which has not been reported in the existing academic literature.

Big Data, digital demand and decision-making

2018 ◽  
Vol 26 (4) ◽  
pp. 541-555 ◽  
Author(s):  
Steve Green ◽  
Earl McKinney Jr ◽  
Kurt Heppard ◽  
Luis Garcia
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Performance Measurement ◽  
Design Methodology ◽  
Consumer Demand ◽  
Decision Makers ◽  
Digital Goods ◽  
Accounting Data ◽  
Content Type ◽  
The Relationship

Purpose This paper aims to discuss the viewpoint that Big Data’s major impacts on the accounting community will be changes in consumers’ demand of accounting data and its impact on decision-making. Big Data is leading consumers to prefer more atomized (not summarized but rather reduced to discrete units), reconfigurable and transparent accounting data that they can combine into their own structures to meet their own decision-making needs. Consequently, consumers will demand digital goods that are less static, and summarized. Design/methodology/approach This paper discusses the strategic shift to what is referred to as “indirect data,” and develops a model that helps explain “how” and “why” Big Data may impact this change in consumer digital demand. Findings There are many evolving Big Data opportunities associated with the shift in consumer demand for more atomized, reconfigurable and transparent accounting data that are discussed in this paper, including strategic capability, auditing, performance measurement and reporting, standardization and education. Originality/value This paper provides a discussion of the evolving opportunities of the relationship that is created by a strategic shift in the type of digital goods consumers of information, specifically decision-makers, will demand, as well as the potential impacts on the accounting community.

scholarly journals Augmented reality goggles selection by using neutrosophic MULTIMOORA method

2018 ◽  
Vol 31 (4) ◽  
pp. 565-576 ◽  
Author(s):  
Serhat Aydin
Keyword(s):  
Decision Making ◽  
Augmented Reality ◽  
Design Methodology ◽  
Objective Method ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Multi Objective ◽  
First Time ◽  
Hierarchy Process ◽  
Multimoora Method

PurposeThe purpose of this paper is to present the augmented reality (AR) eyeglass selection problem based on Neutrosophic MULTIMOORA method which is a very new multi-objective method.Design/methodology/approachThe author evaluates five AR goggles according to six different criteria. Criteria have different weights and determined by analytic hierarchy process. The author used neutrosophic MULTIMOORA method in order to evaluate AR eyeglasses.FindingsFive different AR eyeglasses were evaluated and the best one was selected according to six different criteria (benefit and non-benefit). According to Neutrosophic MULTIMOORA method, Sony AR eyeglass is selected as the best one. Neutrosophic MULTIMOORA method uses simple computational equations and it handles multi-objective decision making problems effectively.Originality/valueEvaluating AR goggles by using the Neutrosophic MULTIMOORA method for the first time is the originality of this paper.

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