An Interactive Approach for Multicriteria Decision Making Using a Tchebycheff Utility Function Approximation

Multicriteria decision making (MCDM) can provide an efficient mean for considering various and conflicting objectives to reveal the alternative that maximizes the decision maker's (DM) utility. In this paper, we propose a new interactive MCDM method for implicit alternatives to help a DM obtain a most preferred solution. We employ a Tchebycheff function to generate weights for objectives consistent with the DM's responses to pairwise comparisons between alternatives and present a mixed integer linear programming formulation to generate these weights. Thus, we approximate the DM's utility function by a Tchebycheff function and generate weights consistent with the DM's responses. We test our approach with different true utility functions on various sized multiple criteria linear programming problems. The computational results show that even with non‐Tchebycheff true utility functions, our method can generate alternatives very close to the optimal solution with few questions. The comparison of our results with other methods reveals its advantages. Copyright © 2013 John Wiley & Sons, Ltd.     

An Approach for Determining the Mix between Human and Automated Service Providers

With the growing popularity of self‐service technologies (SST), businesses have to determine how to combine traditional human service with SST technologies. These mix problems have not received adequate attention in the research literature. This paper offers a decision model for solving mix problems between human service channels and SSTs. The decision problem cannot be determined as a traditional max or min problem and it is fuzzy. In fuzzy problems, the decision maker (DM) is considered as the focal point with the relevant knowledge and preferences and therefore, the objective is to maximize the DM's preferences. This paper develops a decision support system for eliciting a DM's value function when the service channels are considered to be substitutes, but when the rate of substitution may change and then uses a linear‐fractional model to fit the DM's data and optimize the DM's preferences. A service mix problem for a grocery store with human service providers and SSTs is used to demonstrate how the decision model can be employed to analyze and solve service mix decision making problems. Copyright © 2014 John Wiley & Sons, Ltd.     

An approach to and computational results on testing the form of a decision maker's utility function

In this paper we consider the problem of identifying the form of a decision maker's (DM) utility function. We consider a set of alternatives each defined by a number of criteria and we assume that the DM's preferences are consistent with some underlying utility function. We present some theory and develop approaches to test whether the DM's preferences are consistent with a linear, a quasi-concave, a quasi-convex or a general monotonic function. We present our computational experience showing that in almost all cases the approaches correctly identify the form of the underlying utility function and require very little preference information of the DM.     

Exploiting the Wisdom of Others to Make Better Decisions: Suspending Judgment Reduces Egocentrism and Increases Accuracy

Although decision makers often consult other people's opinions to improve their decisions, they fail to do so optimally. One main obstacle to incorporating others' opinions efficiently is one's own opinion. We theorize that decision makers could improve their performance by suspending their own judgment. In three studies, participants used others' opinions to estimate uncertain quantities (the caloric value of foods). In the full‐view condition, participants could form independent estimates prior to receiving others' opinions, whereas participants in the blindfold condition could not form prior opinions. We obtained an intriguing blindfold effect. In all studies, the blindfolded participants provided more accurate estimates than did the full‐view participants. Several policy‐capturing measures indicated that the advantage of the blindfolded participants was due to their unbiased weighting of others' opinions. The full‐view participants, in contrast, adhered to their prior opinion and thus failed to exploit the information contained in others' opinions. Moreover, in all three studies, the blindfolded participants were not cognizant of their advantage and expressed less confidence in their estimates than did the full‐view participants. The results are discussed in relation to theories of opinion revision and group decision making. Copyright © 2011 John Wiley & Sons, Ltd.     

Risk Orientation,Risk Exposure,and Policy Opinions: The Case of Free Trade

This research offers a general framework for thinking about how individual disposition towards risk influences public policy opinions. Affinity for or aversion to risk is, in part, a stable personality characteristic that interacts with risk and reward messages in complex policy debates. We examine the implications of this for public opinions about free trade with extensions to immigration policy. We argue and find that opinions about policy depend jointly upon one's exposure to potential gains or losses and one's risk orientation. The findings have implications for crafting and framing public policies because they highlight how individual characteristics are likely to shape the public response to policy proposals. Our findings suggest that there may be limits, in the aggregate, to the degree to which elites can alter the level of support for policies through framing or through offering risk‐mitigating policy provisions.     

Demonstrating and eliminating the aggregation effect in physical skill tasks

Confidence judgments can be elicited in multiple ways. One of these procedures is to provide confidence judgments regarding each of a number of cases (individual judgments). A second procedure is to provide confidence judgments about a set of items (an aggregate judgment). Much research has demonstrated an aggregation effect—that individual judgments are more confident than aggregate judgments—within the cognitive knowledge domain. However, this effect has not previously been investigated with physical performance skill tasks. In three experiments, participants gave individual and aggregate judgments regarding the number of successful tosses they would make in either a ring toss, ping‐pong toss, or basketball toss task. In keeping with the aggregation effect, individual judgments were more confident than were aggregate judgments of success. Additionally, we eliminated the aggregation effect in Experiments 2 and 3 by employing a case‐specific base rate manipulation. Consistent with previous research with cognitive tasks, these results suggest that individual confidence judgments for physical skill tasks are determined primarily by characteristics associated with the individual case to be judged, whereas aggregate confidence judgments are determined by a more general evaluation of one's ability in the domain. Copyright © 2009 John Wiley & Sons, Ltd.     

Trait and situational attributions in a naturalistic setting: Familiarity, liking, and attribution validity

Student dormitory advisors (n = 16) made trait/situation attributions to themselves and also identified three friends and three acquaintances. Friends (n = 41) and acquaintances (n = 43) then made attributions to themselves along with attributions and familiarity ratings of the advisors who identified them. The actor-observer effect was obtained for situational but not for trait attributions, both when advisors' self-attributions were compared to attributions made about them by friends and acquaintances (common target) and when the latter's self attributions were compared to their target attributions (common rater). Among friends and acquaintances, target familiarity was positively related to trait attributions and was negatively related to uncertainty attributions. Also, familiarity was positively related to the validity of situational but not of trait attributions. It was concluded that familiarity appears to influence the process of attribution, but differentially for dispositional vs. situational attributions and for actor-observer differences vs. observer variations in attributions. Moreover, increased information about the actor as a result of greater familiarity may lead to both more accurate and more favorable attributions.     

Confidence in aggregation of expert opinions

We investigate the case of a single decision maker (DM) who obtains probabilistic forecasts regarding the occurrence of a unique target event from J distinct, symmetric, and equally diagnostic expert advisors (judges). The paper begins with a mathematical model of DM's aggregation process of expert opinions, in which confidence in the final aggregate is shown to be inversely related to its perceived variance. As such, confidence is expected to vary as a function of factors such as the number of experts, the total number of cues, the fraction of cues available to each expert, the level of inter-expert overlap in information, and the range of experts' opinions. In the second part of the paper, we present results from two experiments that support the main (ordinal) predictions of the model.     

Is What You Feel What They See? Prominent and Subtle Identity Signaling in Intergroup Interactions

Individuals often signal group affiliations to others, and the display of such identity signals is frequently rather subtle. While prior work has focused on understanding an individual's choices of subtle versus prominent signals, in this work, we look at the downstream consequences of such choices. Specifically, we explore how the prominence of identity signals may affect one's behavior in intergroup interactions. Drawing from literature on processing fluency, we propose that the use of difficult to process (subtle) identity signals in intergroup interactions leads signalers to experience identity threat, lowering confidence in their identity and leading them to engage in behaviors to recover from this experience. Across three different identity domains (college affiliation, political affiliation, and brand loyalty), we show that when individuals use difficult to process identity signals, they derogate out‐group members in communication and behave less cooperatively in intergroup interactions. We find that these effects depend upon the observability of the signals by out‐group members and only occur for individuals who are highly identified with the in‐group. We also find that the effects are attenuated when behavior towards members of the out‐group is made public. Copyright © 2017 John Wiley & Sons, Ltd.     

Fuzzy MCDM based on the concept of α‐cut

In a fuzzy multiple criteria decision‐making (MCDM) problem, with a hierarchical structure of more than two levels and involving multiple decision‐makers (DMs), to find the exact membership functions of the final aggregation ratings of all feasible alternatives is almost impossible. Thus, ranking methods based on exact membership functions cannot be utilized to rank the feasible alternatives and complete the optimal selection. To resolve the above‐mentioned complexity and to incorporate assessments of all DMs' viewpoints, in this paper a fuzzy MCDM method with multiple DMs, based on the concepts of fuzzy set theory and α‐cut, is developed. This method incorporates a number of perspectives on how to approach the fuzzy MCDM problem with multiple DMs, as follows: (1) combining quantitative and qualitative criteria as well as negative and positive ones; (2) using the generalized means to develop the aggregation method of multiple DMs' opinions; (3) incorporating the risk attitude index β to convey the total risk attitude of all DMs by using the estimation data obtained at the data input stage; (4) employing the algebraic operations of fuzzy numbers based on the concept of α‐cut to calculate the final aggregation ratings and develop a matching ranking method for proposed fuzzy MCDM method with multiple DMs. Furthermore, we use this method to survey the site selection for free port zone (FPZ) in Taiwan as an empirical study to demonstrate the proposed fuzzy MCDM algorithm. The result of this empirical investigation shows that the port of Kaohsiung, the largest international port of Taiwan as well as the sixth container port in the world in 2004, is optimal for the Taiwan government in enacting the plan of FPZ. Copyright © 2005 John Wiley & Sons, Ltd.     

Euclid: Strategic alternative assessment matrix

The vast amount of information that must be considered to solve inherently ill‐structured and complex strategic problems creates a need for tools to help decision makers (DMs) recognize the complexity of this process and develop a rational model for strategy evaluation. Over the last several decades, a philosophy and a body of intuitive and analytical methods have been developed to assist DMs in the evaluation of strategic alternatives. However, the intuitive methods lack a structured framework for the systematic evaluation of strategic alternatives while the analytical methods are not intended to capture intuitive preferences. Euclid is a simple and yet sophisticated multiobjective value analysis model that attempts to uncover some of the complexities inherent in the evaluation of strategic alternatives. The proposed model uses a series of intuitive and analytical methods including environmental scanning, the analytic hierarchy process (AHP), subjective probabilities, and the theory of displaced ideal, to plot strategic alternatives on a matrix based on their Euclidean distance from the ideal alternative. Euclid is further compared to the quantitative strategic planning matrix (QSPM) in a real world application. The information provided by the users shows that Euclid can significantly enhance decision quality and the DM's confidence. Euclid is not intended to replace the DMs, rather, it provides a systematic approach to support, supplement, and ensure the internal consistency of their judgments through a series of logically sound techniques. Copyright © 2003 John Wiley & Sons, Ltd.     

How does crime pay? The differentiation of criminal specialisms by fundamental incentive

Most attempts to determine offence specialisms have not benefited from any formal psychological framework of behavioural differentiation. Bandura's framework (Social foundations of thought and action, 1986) of the fundamental incentives to human action offers an interesting perspective on what might underlie differential patterns of offending. The framework draws attention to the distinction between Material, Power/Status, and Sensory incentives, leading to the hypotheses that crimes which share any one of these incentives will be more likely to be committed by the same person, as revealed through high inter‐correlations, but be less highly correlated with crimes with different fundamental incentives. To test these hypotheses the correlations between 42 offending behaviours as self‐reported by 185 convicted young offenders were examined. A Multidimensional Scaling analysis of the inter‐correlations revealed three distinct styles of offending that could be related to Bandura's Material (Cronbach's α = 0.94), Power/Status (α = 0.90) and Sensory (α = 0.76) incentives. The identification of this psychological basis for the differentiation of criminal styles provides a model for considering offenders' patterns of specialisation which is of value both in clarifying the aetiology of different types of crime and in considering which crimes may be behaviourally equivalent when trying to link them to a common offender or infer offender characteristics from crime scene information. Copyright © 2006 John Wiley & Sons, Ltd.     

Stepwise contouring of efficient criterion vectors for large-scale MOLP

In this paper a new method of presenting the overall (focused) structure of the efficient criterion vectors (N) for large-scale MOLP is proposed. The proposed algorithm ASEOV (approximation of the set of efficient objective vectors) determines the representative subset of N and ensures full coverage of N , with corresponding coverage precision indicated. ASEOV works in objective space directly and eliminates unnecessary computational effort at the collapsing extreme points of X , which are transformed to non-extreme points in objective space. The Tchebycheff metric is employed to measure the coverage precision. ASEOV allows a decision maker (DM) to control the determination procedure by assessing the coverage allowance for each criterion. When the DM's preference is available, ASEOV can focus contouring on the subset of N which fits with the extracted preference. Combined with proper interactive methods, this focused contour over N can reduce the DM's burden, inconsistency or cognitive bias in assessing his preference from which to derive the final best-compromise solution. An illustrative example is presented.     

Social representation and social identity in the black sheep effect

This study tests a new integration of central core theory with subjective group dynamics theory. Specifically, we hypothesized that the type of opinions shared within a group (central vs. peripheral; i.e. central core theory) can moderate the typical processes of the black sheep effect (i.e. subjective group dynamics theory). Our study focused on students expressing opinions with regard to their social representation of studying. We predicted that an in‐group member expressing an opinion against central opinions of the group (but not against peripheral ones) would be judged more negatively than an out‐group member expressing the same opinion. In line with central core theory, the results showed that central opinions, but not peripheral opinions, lead to the typical processes of the black sheep effect. Our findings show that the central elements of a social representation are key to defining the social identity of a group. Future research should thus focus on understanding the socio‐representational nature of cognitions involved in intra‐group and inter‐group relations.     

Simulation of Preference Information in an Interactive Reference Point‐Based Method for the Bi‐Objective Inventory Routing Problem

In the research area of multiple criteria decision making, very few publications exist that explicitly design the simulation of a decision maker (DM) in an interactive approach. For this reason, we outline some methods widely used in the literature to identify common assumptions of simulating the DM's responses and the required input preference information. Our paper aims at covering the identified gap by introducing experimental concepts. Such concepts are used for theoretical analyses of a combined search‐and‐decision‐making procedure. Simulating the DM is a fruitful idea because the algorithm can be tested without integrating a human decision maker. Finally, we conduct experiments based on the proposed settings for a multiobjective inventory routing problem, which is a relevant and challenging logistic problem. Copyright © 2014 John Wiley & Sons, Ltd.     

Expertise,Domains, and the Consensual Assessment Technique

The Consensual Assessment Technique (CAT) argues that the most valid judgments of the creativity are those of the combined opinions of experts in the field. Yet who exactly qualifies as an expert to evaluate a creative product such as a short story? This study examines both novice and expert judgments of student short fiction. Results indicate a need for caution in using non‐expert raters. Although there was only a small (but statistically significant) difference between experts' and novices' mean ratings, the correlation between the two sets of ratings was just .71. Experts were also far more consistent in their ratings compared to novices, whose level of inter‐rater reliability was potentially problematic.     

Envelope stuffing at home: A quasi confidence game

A common consumer fraud is the work‐at‐home scheme which promises substantial earnings from “stuffing envelopes” in one's home. The purposes of this research were to describe this scheme in detail and to analyze the process by which the scheme persists. Upon purchasing materials advertised in National Enquirer the researchers found that the principal plan being sold involves a pyramid: those answering ads buy materials encouraging them to advertise in order to sell the same materials. For this study, the content of the materials was analyzed in terms of the elements found in traditional confidence games. It is evident that although their sequence differs, all the elements of confidence games are present in the envelope stuffing scheme. It is argued that the scheme is a quasi confidence game, and its persistence derives at least in part from the same factors that promote traditional confidence games.     

Psychoanalysis is a two‐way street

The paper discusses psychoanalysis as a mutual exchange between the analyst and analysand. A number of questions are raised: What was Ferenczi's and the early psychoanalysts' contribution to the interpersonal relational dynamics of psychoanalytic treatment? Why did countertransference become an indispensable tool in relationship‐based psychoanalysis? Why is the transference‐countertransference dynamic seen as a special dialogue between the analyst and analysand? What was Ferenczi's paradigm shift in the trauma theory? How did he combine the object relation approach with Freud's original trauma theory? The paper illustrates through some case study vignettes the intersubjective and intrapsychic dynamic in the process of traumatization. We can look at countertransference as an indicator of the patient's basic interpersonal experiences and traumas. Finally the paper discusses countertransference in the light of attachment theory, connecting the early initiatives of inter‐relational approaches in psychoanalysis with recent research.