DETERMINING AGGREGATE CRITERIA WEIGHTS FROM CRITERIA RANKINGS BY A GROUP OF DECISION MAKERS

In this paper, we present an empirical methodology to determine aggregate numerical criteria weights from group ordinal ranks of multiple decision criteria. Assuming that such ordinal ranks are obtained from several decision makers, aggregation procedures are proposed to combine individual rank inputs into group criteria weights. In this process, we use previous empirical results for an individual decision maker, in which a simple function provides the weight for each criterion as a function of its rank and the total number of criteria. Using a set of experiments, weight aggregation procedures are proposed and empirically compared for two cases: (i) when all the decision makers rank the same set of criteria, and (ii) when they rank different subsets of criteria. The proposed methodology can be used to determine relative weights for any set of criteria, given only criteria ranks provided by several decision makers.

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The Good Decision-Maker or Protecting the System

Asylum Matters ◽

10.1007/978-3-030-61512-3_6 ◽

2020 ◽

pp. 155-185

Author(s):

Laura Affolter

Keyword(s):

Decision Maker ◽

Common Good ◽

Asylum Seekers ◽

Decision Makers ◽

Individual Decision ◽

Good Decision ◽

The Common Good ◽

Active Search ◽

The Common

AbstractThis chapter explores how “digging deep”, which stands for the active “search for” inconsistencies in asylum seekers’ narratives in asylum interviews, becomes the morally correct thing for decision-makers to do. Building on Eckert (The Bureaucratic Production of Difference. transcript, Bielefeld, pp. 7–26, 2020) I challenge the depiction of bureaucracies as anethical and amoral. Ethics I understand not in a normative, but rather in an empirical sense, as the common good the administration is oriented towards. The chapter brings to light how particularly through fairness—both as a procedural norm and ethical value—digging deep is established as a routine, professionally necessary and desirable practice, which is connected to decision-makers’ role as “protectors of the system”. I argue that digging deep actively generates the “liars” and “false refugees” it sets out to “uncover”, thereby reinforcing the perception that, indeed, there “are” many false refugees which, again, strengthens the office’s and individual decision-makers’ endeavours to identify and exclude them from asylum.

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Effects of Group and Relationship on Perceptions of Stability

Perceptual and Motor Skills ◽

10.2466/pms.1975.40.1.223 ◽

1975 ◽

Vol 40 (1) ◽

pp. 223-229 ◽

Cited By ~ 1

Author(s):

Sue Foster ◽

Svenn Lindskold

Keyword(s):

Social Influence ◽

Decision Maker ◽

Group Decision ◽

Psychology Students ◽

Interaction Effects ◽

Introductory Psychology ◽

Decision Makers ◽

Individual Decision ◽

Equal Status

Introductory psychology students, 52 men and 52 women, made estimates of the consistency of a decision-maker in 24 hypothetical social influence situations. The decision-maker was either a group or an individual, and the petitioner who was attempting to influence a change in decisions was in either a weak or equal status relationship with the decision-maker. As hypothesized, subjects predicted that group decision-makers would be less likely to change than would individual decision-makers. Subjects also predicted greater consistency on the part of the decision-maker when the petitioner was weak than when he was equal in status with the decision-maker. There were interaction effects of sex of subject and sex of characters on stability predictions.

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More Information or More Data?: Some Experimental Findings

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/107118137702100106 ◽

1977 ◽

Vol 21 (1) ◽

pp. 25-28 ◽

Cited By ~ 2

Author(s):

Alan L. Dorris ◽

T. Connolly ◽

T. L. Sadosky ◽

Mark Burroughs

Keyword(s):

Decision Maker ◽

Information Overload ◽

Decision Makers ◽

Empirical Results ◽

Amount Of Information ◽

Experimental Findings ◽

The Relationship

This paper reviews work which has investigated the relationship between the amount of information available to a decision maker and the quality of the resulting decision. Consideration is also given to research into the strategies employed by decision makers to cope with information overload. Some recent empirical results are presented which indicate that one must carefully distinguish between the amount of information and the amount of data given to the decision maker.

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AHP-De Borda: a hybrid multicriteria ranking method

Brazilian Journal of Operations & Production Management ◽

10.14488/bjopm.2017.v14.n3.a1 ◽

2017 ◽

Vol 14 (3) ◽

pp. 281

Author(s):

Helder Gomes Costa

Keyword(s):

Decision Maker ◽

French Revolution ◽

Assignment Problem ◽

Hybrid Approach ◽

Decision Makers ◽

Ranking Problem ◽

Multicriteria Decision ◽

Criteria Weights ◽

Ranking Problems ◽

Voting Method

De Borda voting method was proposed in the period of French revolution to be used in a multiple decision-maker environment. Later, it was adapted to multicriteria ranking problems. The adoption of criteria weights in De Borda modeling is an evolution of the original De Borda method; despite this fact, evolution does not approach how to define the weights, that is: the weights are an input to De Borda. The proposal is to segment the problem into two ones. The first is a weight assignment problem and was approached through AHP modeling. The second problem is a ranking problem, being approached through De Borda method. AHP and De Borda are based in principles from different multicriteria Decision Schools: AHP is classified into the American School; De Borda is recognized as a French method. This paper shows that it is possible to use both methods, in a complementary way. The proposal can assist and support decision makers in the modeling of multicriteria ranking problems by assigning weights to the criteria under a systematized way. This hybrid approach proposes a better way for the structuring of the problem, by linking an approach that natively supports the assignment of weights (AHP) into another devoted to the ordering of objects (De Borda).

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Utility Estimation of a Set of States of Health

Methods of Information in Medicine ◽

10.1055/s-0038-1636593 ◽

1977 ◽

Vol 16 (03) ◽

pp. 168-175 ◽

Cited By ~ 15

Author(s):

W. I. Card ◽

M. Rusinkiewicz ◽

C. I. Phillips

Keyword(s):

Visual Acuity ◽

Utility Function ◽

Decision Maker ◽

The State ◽

Decision Makers ◽

Individual Decision ◽

Middle State ◽

The Individual ◽

Utility Estimation

A decision maker was presented with three states of health, such that an imaginary patient was in the middle state while the two other states could be described as more preferred and less preferred. The decision maker was then asked to choose the minimal odds at which he would advise an operation which would result in success, the patient moving into the more preferred state, or failure, the patient moving into the less preferred state. Eight decision makers were tested in this way and each made 24 such wagers on a set of three states chosen from a total set of eight; each of these states differed unidimen sionally only in the visual acuity of the remaining eye in the imaginary patient. If the utility of I is arbitrarily assigned to the state of perfect vision, and the utility of 0 to the state of non-perception of light, estimates of the utilities of the intervening states can then be made. The utility function for each decision maker was constructed and was found to be linear against the logarithm of the visual acuity. From this it follows that if all decision makers, e.g. ophthalmic surgeons, show such linearity, they will all choose the same odds before deciding whether to operate and these odds are independent of the utilities which the individual decision maker attaches to the different states of health.

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Utility Estimation of a Set of States of Health

Methods of Information in Medicine ◽

10.1055/s-0038-1636647 ◽

1977 ◽

Vol 16 (03) ◽

pp. 168-175

Author(s):

W. I. Card ◽

M. Rusinkiewicz ◽

C. I. Phillips

Keyword(s):

Visual Acuity ◽

Utility Function ◽

Decision Maker ◽

The State ◽

Decision Makers ◽

Individual Decision ◽

Middle State ◽

The Individual ◽

Utility Estimation

A decision maker was presented with three states of health, such that an imaginary patient was in the middle state «‘hile the two other states could be described as more preferred and less preferred. The decision maker was then asked to choose the minimal odds at which he would advise an operation which would result in success, the patient moving into the more preferred state, or failure, the patient moving into the less preferred state. Eight decision makers were tested in this way and each made 24 such wagers on a set of three states chosen from a total set of eight; each of these states differed unidimen-sionally only in the visual acuity of the remaining eye in the imaginary patient. If the utility of 1 is arbitrarily assigned to the state of perfect vision, and the utility of 0 to the state of non-perception of light, estimates of the utilities of the intervening states can then be made. The utility function for each decision maker was constructed and was found to be linear against the logarithm of the visual acuity. From this it follows that if all decision makers, e.g. ophthalmic surgeons, show such linearity, they will all choose the same odds before deciding whether to operate and these odds are independent of the utilities which the individual decision maker attaches to the different states of health.

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Importance And Behavior Of Capital Project Benefits Factors In Practice: Early Evidence

Journal of Applied Business Research (JABR) ◽

10.19030/jabr.v18i3.2135 ◽

2011 ◽

Vol 18 (3) ◽

Author(s):

Philip A. Horvath ◽

Patty Hatfield ◽

Donna Hill

Keyword(s):

Decision Maker ◽

Capital Budgeting ◽

Decision Makers ◽

Font Size ◽

Individual Decision ◽

Behavioral Training ◽

Factors Associated ◽

Strategic Fit ◽

Early Evidence ◽

And Behavior

We extend the capital budgeting literature by identifying capital project benefits factors and relating each factor’s importance to firm and individual decision-maker factors.  We find significant and consistent changes in importance of project benefits factors associated with decision-maker firm-individual factors.  Project benefits such as value, scale, profitability, strategic fit, competitiveness, communications and implimentability importance can be explained by decision-makers' firm size or type, line/staff distinctions, power, experience, and behavioral training.

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Analytical Study on Big Data

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.668 ◽

2018 ◽

Vol 8 (5) ◽

pp. 75

Author(s):

Vivek Raich ◽

Pankaj Maurya

Keyword(s):

Information Technology ◽

Big Data ◽

Decision Maker ◽

Analytical Study ◽

Large Data ◽

Decision Makers ◽

Continuous Increase ◽

Analytic Methods ◽

Data Store ◽

Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

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Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process

Symmetry ◽

10.3390/sym13050839 ◽

2021 ◽

Vol 13 (5) ◽

pp. 839

Author(s):

Tabasam Rashid ◽

Asif Ali ◽

Juan Guirao ◽

Adrián Valverde

Keyword(s):

Selection Process ◽

Industrial Robot ◽

Vital Role ◽

Decision Makers ◽

Fuzzy Information ◽

Criteria Weights ◽

Topsis Technique ◽

Fuzzy Weights ◽

Robot Selection ◽

Interval Valued

The generalized interval-valued trapezoidal fuzzy best-worst method (GITrF-BWM) provides more reliable and more consistent criteria weights for multiple criteria group decision making (MCGDM) problems. In this study, GITrF-BWM is integrated with the extended TOPSIS (technique for order preference by similarity to the ideal solution) and extended VIKOR (visekriterijumska optimizacija i kompromisno resenje) methods for the selection of the optimal industrial robot using fuzzy information. For a criteria-based selection process, assigning weights play a vital role and significantly affect the decision. Assigning weights based on direct opinions of decision makers can be biased, so weight deriving models, such as GITrF-BWM, overcome this discrepancy. In previous studies, generalized interval-valued trapezoidal fuzzy weights were not derived by using any MCGDM method for the robot selection process. For this study, both subjective and objective criteria are considered. The preferences of decision makers are provided with the help of linguistic terms that are then converted into fuzzy information. The stability and reliability of the methods were tested by performing sensitivity analysis, which showed that the ranking results of both the methodologies are not symmetrical, and the integration of GITrF-BWM with the extended TOPSIS method provides stable and reliable results as compared to the integration of GITrF-BWM with the extended VIKOR method. Hence, the proposed methodology provides robust optimal industrial robot selection.

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Women's Role Involvement in Family Businesses, Business Tensions, and Business Success

Family Business Review ◽

10.1111/j.1741-6248.2003.00053.x ◽

2003 ◽

Vol 16 (1) ◽

pp. 53-68 ◽

Cited By ~ 105

Author(s):

Sharon M. Danes ◽

Patricia D. Olson

Keyword(s):

Decision Maker ◽

Family Business ◽

Decision Makers ◽

Business Success ◽

Business Owner ◽

Role Involvement ◽

Work Involvement ◽

Women's Role ◽

The Impact ◽

Major Decision

This paper is based on a study of 391 family-business-owning couples where the husband is the business owner. The purpose of the study was to examine the work involvement of the wife in the business, the business tensions, and the impact of those tensions on family business success. Fifty-seven percent of wives worked in the business, 47% of whom were paid. Forty-two percent of wives were considered major decision makers. Having more than one decision maker in the business impacted certain types of inclusion tension. Business and family success outcomes varied by level of tensions. There was initial evidence of a threshold where business tensions begin to affect business success negatively.

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