An evaluation of multi‐criteria methods in integrated assessment of climate policy

Those who conduct integrated assessments (IAs) are aware of the need to explicitly consider multiple criteria and uncertainties when evaluating policies for preventing global warming. MCDM methods are potentially useful for understanding tradeoffs and evaluating risks associated with climate policy alternatives. A difficulty facing potential MCDM users is the wide range of different techniques that have been proposed, each with distinct advantages. Methods differ in terms of validity, ease of use, and appropriateness to the problem. Alternative methods also can yield strikingly different rankings of alternatives. A workshop was held in which climate change experts and policy makers evaluated the usefulness of MCDM for IA. Participants applied several methods in the context of a hypothetical greenhouse gas policy decision. Methods compared include value and utility functions, goal programming, ELECTRE, fuzzy sets, stochastic dominance, min max regret, and several weight selection methods. Ranges, rather than point estimates, were provided for some questions to incorporate imprecision regarding weights. Additionally, several visualization methods for both deterministic and uncertain cases were used and evaluated. Analysis of method results and participant feedback through questionnaires and discussion provide the basis for conclusions regarding the use of MCDM methods for climate change policy and IA analyses. Hypotheses are examined concerning predictive and convergent validity of methods, existence of splitting bias among experts, perceived ability of methods to aid decision‐making, and whether expressing imprecision can change ranking results. Because participants gained from viewing a problem from several perspectives and results from different methods often significantly differed, it appears worthwhile to apply several MCDM methods to increase user confidence and insight. The participants themselves recommended such multimethod approaches for policymaking. Yet they preferred the freedom of unaided decision‐making most of all, challenging the MCDM community to create transparent methods that permit maximum user control. Copyright © 2002 John Wiley & Sons, Ltd.     

Analog scale,magnitude estimation,and person trade‐off as measures of health utility: biases and their correction

Subjects judged the disutility of health conditions (e.g. blindness) using one of them (e.g. blindness+deafness) as a standard, using three elicitation methods: analog scale (AS, how bad is blindness compared to blindness+deafness?); magnitude estimation (ME, blindness+deafness is how many times as bad as blindness?); and person trade‐off (PTO, how many people cured of blindness is as good as 10 people cured of blindness+deafness?). ME disutilities of the less bad condition were smallest, and AS was highest. Interleaving PTO with ME made PTO more like ME. AS disutilities were inconsistent with direct judgments of differences between pairs of conditions. ME and PTO judgments were internally inconsistent: e.g. the disutility of one‐eye‐blindness relative to blindness+deafness was larger than predicted from comparison of each to blindness. Consistency training reduced inconsistency, increased agreement between AS and PTO, and transferred from one method to the other. The results support the use of consistency checks in utility elicitation. Copyright © 2001 John Wiley & Sons, Ltd.     

Are absolute frequencies,relative frequencies,or both effective in reducing cognitive biases?

Biases in probabilistic reasoning are affected by alterations in the presentation of judgment tasks. In our experiments, students made likelihood judgments that an event was produced by various causes. These judgments were made in terms of probability, relative frequency or absolute frequency on a full or a pruned list of causes. When they had little personal experience of the event (causes of death), the pruning bias was smaller with relative frequencies than with absolute frequencies or probabilities. When they had more personal experience of the event (missing a lecture), the bias was less with both types of frequency than with probability but still lowest with relative frequency. We suggest that likelihood information is usually stored as relative frequencies when it has been obtained from public sources but that it is based on event counts when it is derived from personal experience. Copyright © 2000 John Wiley & Sons, Ltd.     

Fourier‐Motzkin elimination method in MOLP problems

This paper introduces a method for finding the non‐dominated set in criterion space of an MOLP problem based on Fourier–Motzkin Elimination. The method incorporates a procedure that eliminates decision variables from constraints and transforms a feasible region from decision space to criterion space. While avoiding characterization of the efficient set in decision space, it finds the non‐dominated set in criterion space. After the decision maker's most preferred criterion vector has been identified, the corresponding efficient solutions can be found by backward substitution. The method was implemented in MATLAB using a tabular form and computational experiments were conducted. The results indicate that although the method performs well for relatively small problems, it can be computationally intensive for larger problems. Nonetheless, the method is intuitively appealing and it provides useful insights into the geometry and theory of MOLP. As such it makes it a valuable educational tool for students of multi‐criteria decision analysis. Copyright © 2003 John Wiley & Sons, Ltd.     

Attribute‐based differentiation of alternatives

An intermediate step is introduced to the dialogue decision process for decision analysis. Alternatives are refined after they have been generated within a strategy table but before they are subject to more detailed evaluation. Two or more judges create a subjective mapping from alternatives to attributes that will later be mapped to criteria. In strategy tables, each of the alternative strategies consists of a coherent set of choices made across several decisions that are to be coordinated. These strategic alternatives are modified so as to increase their differentiation in the attribute space, rather than in the decision space alone. When criteria weights are unknown, the best alternative from the modified set may be superior to the best alternative from the original set. Furthermore, analysis of the resulting alternatives may yield a better mapping of the value response surface for the action space, in the sense that this mapping leads to eventual construction of a higher value alternative. Results are reported for a consulting engagement incorporating the proposed step. Copyright © 2003 John Wiley & Sons, Ltd.     

Effect of body size on aggression in the ant,Cataglyphis niger (Hymenoptera; Formicidae)

In polymorphic ants, such as Cataglyphis niger, sterile individual workers from the same nest show some degree of variation in size and/or morphology. We studied whether worker size and size difference between opponents had an effect on aggression during conspecific encounters. Although the capacity to recognize nestmates was shared by all individuals, some patterns of agonistic behaviors were size related. Escape was mostly displayed by the small workers, and threat, associated with ritualized fights, by the large workers. As game theory predicted, ants of C. niger adjusted their level of aggression as a function of the size of the opponent. However, only large individuals used such assessment strategies, responding with escalation of aggression towards small workers and reduction of aggression towards large ones. On the contrary, small individuals behaved in the same manner whatever the opponent's size. Differences between both morphological castes were discussed with reference to the resource holding assessment models. Aggr. Behav. 25:369–379, 1999. © 1999 Wiley‐Liss, Inc.     

Self‐reported discipline among Swedish parents of preschool children

Swedish mothers and fathers from 200 volunteer families (target child aged 1–6 years) were asked what they would do in five situations which called for either control or discipline. The Parental Discipline Interview (PDI) was scored for 18 possible responses. Both mothers and fathers reported a variety of discipline strategies. Firm Command and Redefine were reported most often, while Threat and Physical Punishment were reported least often. Analysis of Variance (ANOVAs) showed higher frequencies of Reasoning and Ignore and lower frequencies of Redefine for mothers than for fathers. Regression analyses showed that mothers that had less traditional attitudes and young children predicted the preference of Physical Restraint, as well as Distraction. Ignore was predicted for older, less active children of less educated mothers. Fathers having younger, less active daughters predicted the preference of Redefine. Even if parents do not have Physical Punishment at their disposal following the ‘aga‐law’, the results showed that they have not abdicated their parental authority. Copyright © 1999 John Wiley & Sons, Ltd.     

A response to the proposed ELCA inter‐religious policy statement

In this solicited essay, an undergraduate Interfaith Scholar and Interfaith Studies minor at Concordia College responds to the ELCA proposed interreligious policy statement. In this essay, I will contend that the policy statement beautifully articulates our Lutheran commitment to accompany our neighbors by envisioning a world in which God celebrates all forms of diversity. Moreover, by framing our vocation in the context of relational theology, the document lays the groundwork for mutual understanding that prioritizes service to the neighbor over proselytization.     

Breaking face processing tasks apart to improve their predictive value in the real world: A comment on Ramon,Bobak, and White (2019)

In this commentary, I will expand on three aspects suggested by Ramon et al. (2019, British Journal of Psychology, 110, 461) to improve the predictive value of laboratory‐based tasks in real‐world applications. There are potential benefits that may arise from three interrelated considerations, particularly in terms of predicting agents’ susceptibility to errors in operational settings. The first is a proposal to conduct a detailed examination of performance on face processing tests rather than only analysing overall accuracy scores. The second involves considering non‐face‐related cognitive and meta‐cognitive sub‐processes involved in face processing tasks. The third highlights the contribution of superior recognisers in creating challenging tests that simulate difficult real‐world situations.