The Selection of Multiattribute Decision Making Methods for Scholarship Student Selection

Selecting scholarship students from a number of competing candidates is a complex decision making process, in which multiple selection criteria have to be considered simultaneously. Multiattribute decision making (MADM) has proven to be an effective approach for ranking or selecting one or more alternatives from a finite number of alternatives with respect to multiple, usually conflicting criteria. This paper formulates the scholarship student selection process as an MADM problem, and presents suitable compensatory methods for solving the problem. A new empirical validity procedure is developed to deal with the inconsistent ranking problem caused by different MADM methods. The procedure aims at selecting a ranking outcome which has a minimum expected value loss, when true attribute weights are not known. An empirical study of a scholarship student selection problem in an Australian university is conducted to illustrate how the selection procedure works.     

A new fuzzy multicriteria evaluation method for group site selection in GIS

Multiple criteria group site selection problems involve a group of individuals evaluating a set of alternative sites on the basis of multiple criteria. This paper presents an application of a new fuzzy algorithm for finding and exploring potential solutions to these problems in a raster Geographical Information System (GIS) environment. Linguistic assessments from decision‐makers are represented as triangular fuzzy numbers (TFN's), which are adjusted for uncertainty in the source data and their relationship to suitability by using an approach based on type‐2 fuzzy sets. The first aggregation of inputs is a compensatory one based on fuzzy multiattribute decision‐making (MADM) theory. An adjusted aggregation then factors in conflicts, risks and uncertainties to enable a variety of compensatory and non‐compensatory outcomes to be generated based on decision‐maker preferences. The algorithm was implemented in ArcView GIS as part of an ongoing collaborative project with Brisbane Airport. This paper outlines the fuzzy algorithm and its use in site selection for a recycling facility on the Brisbane Airport site. Copyright © 2005 John Wiley & Sons, Ltd.     

Locating a Waste Treatment Facility by Multicriteria Analysis

We describe an application of multicriteria decision aid to the location of a waste treatment facility in eastern Finland. In Finland, the Act on Environmental Impact Assessment Procedure requires that when the amount of waste to be dealt with in a facility exceeds 20,000 tons per year, the process of environmental impact assessment (EIA) must be performed. In addition, the opinions of citizens and different interest groups need to be heard. Generally, EIA requires many different factors to be dealt with. Therefore the use of some multicriteria decision aid may be helpful to preserve the information obtained through the EIA in the decision-making process. The alternative locations for the facility were considered based on 14 criteria by 28 decision makers. The present paper makes use of the PROMETHEE decision aid, which was found to fit well with certain constraints in this type of problem with multiple criteria and multiple decision makers. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 175–184 (1997) No. of Figures: 2. No. of Tables: 3. No. of References: 18.     

Multiple-attribute decision making based on single-valued neutrosophic Schweizer-Sklar prioritized aggregation operator

Single-valued neutrosophic (SVN) sets can successfully describe the uncertainty problems, and Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) can build the information aggregation process more flexible by a parameter. To fully consider the advantages of SVNS and SS operations, in this article, we extend the SS TN and TCN to single-valued neutrosophic numbers (SVNN) and propose the SS operational laws for SVNNs. Then, we merge the prioritized aggregation (PRA) operator with SS operations, and develop the single-valued neutrosophic Schweizer-Sklar prioritized weighted averaging (SVNSSPRWA) operator, single-valued neutrosophic Schweizer-Sklar prioritized ordered weighted averaging (SVNSSPROWA) operator, single-valued neutrosophic Schweizer-Sklar prioritized weighted geometric (SVNSSPRWG) operator, and single-valued neutrosophic Schweizer-Sklar prioritized ordered weighted geometric (SVNSSPROWG) operator. Moreover, we study some useful characteristics of these proposed aggregation operators (AOs) and propose two decision making models to deal with multiple-attribute decision making (MADM) problems under SVN information based on the SVNSSPRWA and SVNSSPRWG operators. Lastly, an illustrative example about talent introduction is given to testify the effectiveness of the developed methods.     

Emotion as a tradeable quantity

Three studies investigate how physiological emotional responses can be combined with symbolic information to predict preferences. The first study used a weighted proportional difference rule to combine explicitly quantified symbolic and emotional information. The proportion of emotion model was more predictive than a simple additive emotional (AE) combination in decisions about selecting dating partners. Study 2 showed that a simple proportion algorithm of emotionally derived weights and a simple AE model predicted preference equally well for decisions between equal expected value (EV) gambles. Study 3 provided additional evidence for decision mechanisms that combine physiological measures within symbolic trade‐off algorithms for choices between diamond rings. Self‐reported emotion measures proved to be better predictors than physiological measures. The results are discussed in the context of other major models of emotional influence on preference and provide a foundation for future research on emotional decision‐making mechanisms. Copyright © 2008 John Wiley & Sons, Ltd.     

The effects of process and outcome accountability on judgment process and performance

This article challenges the view that it is always better to hold decision makers accountable for their decision process rather than their decision outcomes. In three multiple-cue judgment studies, the authors show that process accountability, relative to outcome accountability, consistently improves judgment quality in relatively simple elemental tasks. However, this performance advantage of process accountability does not generalize to more complex configural tasks. This is because process accountability improves an analytical process based on cue abstraction, while it does not change a holistic process based on exemplar memory. Cue abstraction is only effective in elemental tasks (in which outcomes are a linear additive combination of cues) but not in configural tasks (in which outcomes depend on interactions between the cues). In addition, Studies 2 and 3 show that the extent to which process and outcome accountability affect judgment quality depends on individual differences in analytical intelligence and rational thinking style.     

Applications of the MACBETH Approach in the Framework of an Additive Aggregation Model

In measurement theory terminology, MACBETH is an interactive approach for mapping into a real scale the various degrees to which the elements of a finite set possess a property P. The originality of MACBETH's questioning procedure is the possibility of establishing a constructive path towards cardinal measurement in both quantitative and substantive meaningful terms, avoiding the operational problems recognized as a weakness of other procedures. The use of the notion of semantic absolute judgements plays a key role here and the simplicity, interactivity and constructiveness of our approach insert it in the modern paradigms of decision aid. This article illustrates the usefulness of MACBETH as a tool to facilitate decision support, by describing its application in two real public decision situations where we acted as facilitators. Although the cases correspond to quite different decision contexts and problematics and our interventions have addressed diverse issues, they have in common the fact that we conducted both evaluation processes in the framework of an additive multicriteria aggregation procedure. In the first case MACBETH has been used to support the construction of (local) cardinal value functions, while the second illustrates how our approach can serve as a weighting procedure to determine the scaling constants of an additive aggregation model. © 1997 John Wiley & Sons, Ltd.     

直觉和分析在不同任务条件下的逃生决策效果

目的：探讨针对简单和复杂逃生任务时, 直觉和分析在不同判断依据条件下的逃生决策效果。方法：采用两个主实验和两个预备实验。实验一和实验二的被试人数分别为：85人和87人。两个主实验均采取2 (思维方式：直觉和分析) × 2 (判断依据：简单和复杂)组间实验设计。主要结果：(1)针对简单逃生任务, 直觉组和分析组在不同判断依据条件下的逃生决策效果差异不明显; (2)针对复杂逃生任务, 在简单判断依据条件下分析决策优于直觉决策; 在复杂判断依据条件下直觉决策优于分析决策。主要结论：直觉性和分析性逃生决策的效果主要与决策任务的复杂程度有关, 而与判断依据的复杂程度关系不大。     

Robustness of Additive Value Function Methods in MCDM

A simulation model is constructed of choice between a discrete number of non-dominated alternatives. The long-run goals of the decision maker are assumed to be consistent with a hypothetical preference structure which satisfies assumptions of completeness, transitivity and additive independence for an ideal set of criteria. The use of additive value functions to aid the decision maker in this choice is simulated for a variety of contexts and under a number of non-idealities such as the omission of criteria, confounding of criteria and inconsistent responses. It is found that ideal preference orderings are well identified by additive value functions provided that the non-idealities are moderate and that sufficient effort is put into modelling changing marginal values for different levels of performance. One of the potentially most sensitive areas is that of shifts in the decision maker's reference points as a result of the types of preference information asked.     

The Influence of Decision Aids on Choice Strategies: An Experimental Analysis of the Role of Cognitive Effort

This paper examines the role of computer-based decision aids in reducing cognitive effort and therefore influencing strategy selection. It extends and complements the works reported in the behavioral decision theory literature on the role of effort and accuracy in choice tasks. The central proposition of this paper is that specific features can be incorporated within a set of decision aids that will alter the effort required to implement a particular choice strategy relative to other strategies, and that this will influence strategy selection by the decision maker. In a laboratory experiment, using a repeated measures design, 48 subjects performed a preferential choice task using different decision aids. Subjects were given different levels of support to reduce the cognitive effort associated with different preferential choice strategies. In particular, the decision aids provided varying levels of support for the processing associated with either elimination by aspects or additive difference strategies. The study examined how information processing strategies were influenced by the decision aids. The results show that decision aids which reduce the effort associated with the elimination by aspects strategy induce behaviors associated with elimination by aspects. More importantly, there was an interaction effect caused by the distinct behavior of the group which was provided support for additive difference but not for elimination by aspects. This group processed the information about available choices in a way that is consistent with an additive difference strategy. These findings indicate that a decision aid can induce additive processing by altering the relative effort requirements of different choice strategies.     

The Effectiveness of Partial Information about Attribute Weights for Ranking Alternatives in Multiattribute Decision Making

Weighted additive evaluation functions are widely used to rank alternatives in decision making under certainty with multiple evaluation attributes. Some researchers have suggested that approximate attribute weights may be adequate to accurately rank alternatives. Use of approximate weights would simplify decision analysis since detailed elicitation of weights can be time consuming and controversial. This article investigates the degree to which partial information about the relative magnitudes of attribute weights is sufficient to rank alternatives as a function of the number of decision alternatives, the number of attributes, and the number of allowed levels for each attribute. A simulation analysis, as well as a reanalysis of an actual application, shows that partial information about weights is often not sufficient to determine the most preferred alternative for realistic decision problems. Hence, approximation procedures for specifying weights may lead to errors. However, our work also shows that a simple analysis procedure can be used to accurately determine whether partial information about weights is adequate to correctly specify the most preferred alternative. This procedure can be useful for identifying situations in which detailed elicitation of weights is not needed.     

Effects of information relevance on decision making in complex environments

Previous research based on predictions of complexity theory has often varied information load and measured characteristics of group decision making. A reinterpretation of related data on success and failure effects suggests that the obtained load effects may be confounded by simultaneous variation of information load and information relevance. To begin studying the separate effects of the two variables, information load was held constant at the previously determined optimal level and information relevance was varied as a proportion of load. It was found that integrated decision making (a complex decision response) was modified by changes in information relevance; but that respondent decision making and information search (simple decision responses) did not change. The results were tentatively interpreted to suggest that complex decision making varies with relevance, while simple decision making varies with information load. It was suggested that complexity theory might be correspondingly modified.     

A parameter analysis method for the weight‐set to satisfy preference orders of alternatives in additive multi‐criteria value models

In the context of the additive multi‐criteria value model, this paper investigates how the set of criteria weights (weight‐set hereafter) can be determined according to the preference orders of alternatives given by the decision maker. A construction method is proposed for the weight‐set for different intervals of β, where β is a differential amount of value between the preference information on two alternatives. The results of this paper are important for sensitivity analysis in multi‐criteria decision making (MCDM) problems and multi‐criteria group decision analysis. Copyright © 2000 John Wiley & Sons, Ltd.     

Stimulus format and working memory in fast and frugal strategy selection

The necessity of retrieving complex attribute information from long‐term memory has been shown to elevate processing costs and boost the use of simple decision heuristics. This effect was confined to verbal as opposed to pictorial attribute information. In a large‐scale experiment (N = 151), either verbal or pictorial information for inferences had to be retrieved from long‐term memory. Concurrent secondary tasks either interfered with the Central Executive, the Phonological Loop, or the Visuo‐Spatial Sketchpad. These are hypothetical components of working memory responsible for processing different information formats. Whereas the information format massively affected strategy selection, there was an additive rather than interactive effect of secondary task, suggesting enhanced retrieval costs irrespective of the information format. An additional analysis in terms of a similarity match as proposed by exemplar‐based models did not enhance the explanation of the data. Copyright © 2006 John Wiley & Sons, Ltd.     

The modified star graph and the petal diagram: two new visual aids for discrete alternative multicriteria decision making

Many studies have looked into the provisions of visual aids to multicriteria decision making. However, most of them have separated the display of alternative profiles and criteria weight information into two displays. This makes the analysis of the relationship between the criteria and alternatives and the effect of changing the criteria weights on the decision difficult. In this study, displays that can incorporate the display of both alternative profiles and criteria weight information for discrete alternative multicriteria decision-making problems are examined. The simple additive model is the multicriteria analysis method used. The result is two new visual aids for representing data of multicriteria decision-making problems, the modified star graph and the petal diagram. This paper discusses the two displays and compares their strengths and weaknesses. The results of a preliminary test conducted to evaluate the effectiveness of the displays are also included. © 1998 John Wiley & Sons, Ltd.     

Information search in heuristic decision making

Simple heuristics of the type introduced by Gigerenzer, Todd, and The ABC Research Group ( 1999 ) embody principles for information search, stop and decision making. These heuristics suggest that such processes are simple. In an analysis of general practitioners' (GPs) information search and decision‐making behaviour when prescribing a lipid lowering drug, we examined whether information search was simple, and whether a heuristic that predicts a simple decision‐making process was also accurate at describing information search. We found that GPs' information search behaviour was simple in that it demonstrated characteristics of the matching heuristic (e.g. stopping rule). In addition, although the matching heuristic which correctly predicted on average 75% of GPs' decisions used significantly fewer cues on average than the GPs did in the information search task, it was reasonably accurate in describing order of information search. These findings have implications for the validity of simple heuristics describing both information search and decision making. Copyright © 2009 John Wiley & Sons, Ltd.     

Measuring logistics performance of OECD countries via fuzzy linear regression

In logistics, performance measurement has been considered as a key competency to acquire world class performance. In light of this, we presented a robust methodology to establish an analysis framework for measuring logistics performance. The proposed hybrid methodology is a combination of criteria importance through intercritera correlation (CRITIC), simple additive weighting (SAW), and Peters' fuzzy regression methods. To the best of our knowledge, country‐based logistics performance is seldom studied in the literature. Therefore, we measured the logistics performance of Organization for Economic Cooperation and Development (OECD) countries using the devised model based on the data of Logistics Performance Index 2014 provided by the World Bank. The introduced methodology, which is suitable to model imprecise relationships among system parameters, appears to be a practical alternative approach for the assessment of logistics performance. It should be noted that the evaluation framework presented in this paper is not confined to performance measurement case and can also be exploited in addressing other multiple criteria decision‐making problems incorporating uncertainty.     

Holistic Information Integration in Child Decision Making

Weighted‐additive (WADD) strategies require decision makers to integrate multiple values weighted by their relevance. From what age can children make choices in line with such a WADD‐strategy? We compare multi‐attribute decisions of children (6–7; 8–10; 11–12‐year‐olds) with adults in an open information‐board environment without pre‐decisional information search. In two experiments, we classify decision strategies based on individual choice patterns and find that in all age groups the majority of participants are users of a WADD‐strategy. Simple decision heuristics such as lexicographic strategies were applied rarely by children and not at all by adults. In two additional follow‐up studies, we further investigate the underlying process of WADD‐application by analysing decision latencies in combination with a retrospective think‐aloud study. Results suggest that children did not apply WADD‐strategies in a deliberate fashion in our experiments. Overall, our findings demonstrate that the ability to make good and quick decisions by holistically integrating information is already present in young children. Copyright © 2017 John Wiley & Sons, Ltd.     

The Relationship between Performance in Near Match-to-Sample Tasks and Fluid Intelligence

Match-to-sample is a timed task in which a subject is presented with a visual stimulus (the probe) and must select a match to that stimulus (the target) from among an array of distractors. These tasks are frequently employed as tests of basic cognitive abilities and demonstrate consistent correlations with measures of intelligence. In the current study, a match-to-sample task was modified to produce near-match conditions (trials for which no exact match existed). Two factors were manipulated: type of discrepancy between the target and probe (additive or subtractive) and degree of discrepancy between target and probe (1 element or 2 elements). It was hypothesized that introducing near-match conditions would change the processing demands of the task, resulting in increased correlations between decision time and fluid intelligence. Degree and type of discrepancy affected decision times: participants required more time for 2 element discrepancies and additive type discrepancies. Contrary to expectations, increased decision time on a task did not correspond to higher correlations with fluid intelligence. For type, correlations were larger when participants needed to mentally subtract elements from the target in order to make it match the probe (mean r_additive = .399; mean r_subtractive = .451). For degree, correlations were larger for trials where the probe and target differed by one element (mean r = .470) than for trials where the probe and target differed by two elements (mean r = .380). These results seem to indicate that the relationship between the complexity of a task and general intelligence is not as straightforward as has been commonly believed.