Rough approximation of pairwise comparisons described by multi‐attribute stochastic dominance

Given a finite set A of actions evaluated by a set of attributes, preferential information is considered in the form of a pairwise comparison table including pairs of actions from subset B⊂A described by stochastic dominance relations on particular attributes and a total order on the decision attribute. Using a rough sets approach for the analysis of the subset of preference relations, a set of decision rules is obtained, and these are applied to a set A\B of potential actions. The rough sets approach of looking for the reduction of the set of attributes gives us the possibility of operating on a multi‐attribute stochastic dominance for a reduced number of attributes. Copyright © 1999 John Wiley & Sons, Ltd.     

Weight approximations in multi‐attribute decision models

The use of surrogate weights based on rankings has been proposed as a method for avoiding difficulties associated with the elicitation of weights in multi‐attribute decision analysis. When the simple multiattribute rating technique using swings (SMARTS) method is being employed it has been suggested that rank order centroid (ROC) weights are the best surrogate weights to use. This study shows that ROC weights are appropriate to use as a substitute for original weights that are constrained to sum to a fixed total (usually 1 or 100) as used in the point allocation method. If, however, the original weights are determined without any initial restrictions, as in the direct rating method, and are then normalized, which is the common procedure in SMARTS analysis, then the ROC weights do not provide the best approximations to the original weights. This paper shows how to obtain rank order distribution (ROD) weights that provide a better approximation than the ROC approach to unrestricted original weights. The paper also shows that, as the number of attributes in a decision problem increases, the ROD weights approximate to the more easily calculated rank sum weights. Copyright © 2003 John Wiley & Sons, Ltd.     

A Note on the Power of Multiattribute One‐switch Utility Functions

One‐switch utility functions model situations in which the preference between two alternatives switches only once as the outcome of one attribute of both alternatives changes from low to high. Recent research cites evidence that the sum of exponential functions (sumex) is the most convincing type for modelling one‐switch utility functions. Sumex functions allow to model exactly one preferential switch and they are convenient for estimating one‐switch utility functions. However, it is unclear so far if sumex functions are suitable to model preferential switches that are perceivable by a decision maker. This paper first analyses how different the utility of two alternatives before and after a preferential can be modelled with sumex functions given that the preferential switch is caused by a particular attribute outcome improvement. It thereafter investigates how accurately decision makers perceive such utility differences. Copyright © 2015 John Wiley & Sons, Ltd.     

Invited Review—Survey of Value‐Focused Thinking: Applications,Research Developments and Areas for Future Research

Criteria are the central focus of multi‐criteria decision analysis. Many authors have suggested using our values (or preferences) to define the criteria we use to evaluate alternatives. Value‐focused thinking (VFT) is an important philosophy that advocates a more fundamental view of values in our decision making in our private and professional lives. VFT proponents advocate starting first with our values and then using our values to create decision opportunities, evaluate alternatives and finally develop improved alternatives. It has been 20 years since VFT was first introduced by Ralph Keeney. This paper surveys the VFT literature to provide a comprehensive summary of the significant applications, describe the main research developments and identify areas for future research. We review the scope and magnitude of VFT applications and the key developments in theory since VFT was introduced in 1992 and found 89 papers written in 29 journals from 1992 to 2010. We develop about 20 research questions that include the type of article (application, theory, case study, etc.), the size of the decision space (which, when given, ranged from $200K to billions of dollars), the contribution documented in the article (application benefits) and the research contributions (categorized by preferences, uncertainties and alternatives). After summarizing the answers to these questions, we conclude the paper with suggestions for improving VFT applications and potential future research. We found a large number of significant VFT applications and several useful research contributions. We also found an increasing number of VFT papers written by international authors. Copyright © 2012 John Wiley & Sons, Ltd.     

Evolution of multi‐criteria analysis: a scientometric analysis

The field of multi‐criteria analysis has known very important developments during the last 20 years, if one considers the very large amount of activities that it has generated and continues to generate (papers in journals, a dedicated journal, books, meetings, applications, …). Even if multi‐criteria analysis has reached some maturity, its future is subject to questions and debate among its researchers: what is the evolution of the field? What is its structure? Is it integrating new topics? In order to answer such questions at least partially, we have studied multi‐criteria analysis literature by means of the method of associated words (scientometric analysis) and the software ‘Leximappe’. All the abstracts of the papers which are relative to multi‐criteria analysis and are included in the bibliographic ABI‐INFORM database from 1985 to 1996 have been analysed. In this paper, we will present some results of this study. Copyright © 1999 John Wiley & Sons, Ltd.     

Model and interactive algorithm of bi‐level multi‐objective decision‐making with multiple interconnected decision makers

Furthering a prior research on two‐person bi‐level multi‐objective decision‐making problems of the leader‐follower Stackelberg game, we present an extended model of bi‐level multi‐objective decision‐making with multiple interconnected decision makers at the lower level. In the model, the upper level decision maker acts as a leader and the lower level decision makers behave as the followers, and inter‐connections and interactions exist among these followers in decision‐making scenarios. Following the rules of leader‐follower Stackelberg game, we develop an interactive algorithm of the model for solving multi‐objective decision‐making problems and reflecting the interactive natures among the decision makers. Finally, the authors exemplify the model and algorithm, and draw a conclusion on points of contributions and the significance of this study in decision‐making and support. Copyright © 2001 John Wiley & Sons, Ltd.     

Multi‐Criteria Evaluation for Collaborative Circulating Farming with Collective Operations Between Arable and Cattle Farmers

Tokachi sub‐prefecture in Hokkaido is one of the most famous dairy and crop farming regions in Japan. It is known that Tokachi is faced with various difficult problems such as soil degradation, water contamination and unpleasant odours because of the excessive use of chemical fertilizers and inappropriate treatment of livestock excretion. In this paper, we focus on Shihoro town where agricultural outputs are relatively large in Tokachi, and propose collaborative circulating farming with collective operations between arable and cattle farmers. Under the assumption that the decision‐maker in this problem is a representative of a farming organization who hopes for sustainable agricultural development and values the intentions of local residents including arable and cattle farmers in this region, we employ multi‐attribute utility theory in order to evaluate multiple alternatives of the farming management problem. Copyright © 2012 John Wiley & Sons, Ltd.     

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.     

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.     

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.     

Closing the empathy gap in college students' judgments of end‐of‐life tradeoffs

When considering hypothetical end‐of‐life (EOL) scenarios involving 80‐year‐old intensive‐care unit patients, young adults are more likely than older adults to judge that shorter lifespan would be a fair trade in exchange for a more pleasant death. This result has been interpreted in terms of an empathy gap, in which individuals fail to relate to the affective states of others. If so, the effect should be reduced when young adults consider scenarios involving patients similar to themselves. The present study examined college students' willingness to trade healthy lifespan for better death in EOL scenarios involving 80‐year‐old and 22‐year‐old cancer victims. Results indicated students under 30 were less likely to trade lifespan in the 22‐year‐old scenarios, and were less likely to trade lifespan in either set of scenarios when the 22‐year‐old scenarios were presented first. The findings are consistent with an empathy gap account of judgments concerning EOL care.     

An investigation of the role of scale values in the DS/AHP method of multi‐criteria decision making

DS/AHP is a method of multi‐criteria decision making based on the Dempster–Shafer theory of evidence and the analytic hierarchy process. Central to the utilization of DS/AHP is the composing of preference judgements on identified groups of decision alternatives (DA) across a number of criteria against all the DA present in the problem in question. This paper exposits a series of results whose objectives are to aid in the development of an effective set of preference scale values for use within DS/AHP. These results relate directly to the concomitant level of ignorance (uncertainty) with the judgements made on a single criterion. Two particular directions of investigation are undertaken, firstly in determining the necessary number of scale values available and secondly finding the necessary differences between scale values, dependent on whether an arithmetic or geometric progression is the basis for the scale values. Through an example, the implications and utilization of these results within DS/AHP are illustrated. Copyright © 2003 John Wiley & Sons, Ltd.     

An observational measure of children's behavioural style: Evidence supporting a multi‐method approach to studying temperament

This study demonstrates the potential utility of the Behavioural Style Observational System (BSOS) as a new observational measure of children's behavioural style. The BSOS is an objective, short and easy to use measure that can be readily adapted to a variety of home and laboratory situations. In the present study, 160 mother–child dyads from the Concordia Longitudinal Risk Project (CLRP) were observed during an 11‐min behavioural sample. Videotaped interactions were coded using the BSOS for children's mood, activity level, vocal reactivity, approach to toys, mood consistency and adaptability. Comparisons between the BSOS observational ratings and mothers' ratings of the child on the EAS Temperament Survey (EAS) provided support for modest congruence between these two measurement systems, and revealed a differential predictive pattern of children's functioning. Specifically, the observation‐based BSOS predicted children's cognitive performance and adaptive behaviour during testing, whereas the mother‐rated EAS predicted maternal ratings of children's internalizing and externalizing behaviour problems. Both measures were found to independently predict mothers' ratings of parenting stress. Overall, the findings imply that neither observational measures nor maternal ratings alone are sufficient to understand children's behavioural style, and that comprehensive evaluations of children's temperament should optimally include both types of measures. Copyright © 2004 John Wiley & Sons, Ltd.     

Don't cheat,be happy. Self‐control,self‐beliefs,and satisfaction with life in academic honesty: A cross‐sectional study in Poland

Academic dishonesty is dishonest behavior at school or university which is supposed to result in a passed exam or in a positive grade. Academic dishonesty is a global problem, present at every stage of education. Since the consequences of this phenomenon may be serious, such as a low level of knowledge despite receiving a diploma from a school or university or carrying dishonest behaviors over into other domains of functioning, research into this phenomenon also seems to be of high significance. Cheating, plagiarism, and falsification are the forms of academic of dishonesty. The aim of this study was to establish how academic dishonesty is related to self‐control, self‐beliefs, and satisfaction with life. The sample consisted of 631 participants, to whom we administered the Academic Honesty Scale, the Brief Self‐Control Scale, the Social Success Index, the Normalcy Feeling Scale, the Social Comparison Scale, and the Satisfaction With Life Scale. We found that academic dishonesty was linked with some of the variables. The results indicated that academic dishonesty and self‐control were negatively related to academic cheating and that social comparison was positively related to plagiarism and falsification. It also turned out that women scored lower than men on academic dishonesty. Research findings on academic dishonesty have a number of important implications for education, particularly for psychologists, teachers, and sociologists.     

Emotional intelligence and health‐related quality of life in institutionalised Spanish older adults

This study explores the relationship between emotional intelligence (EI) and health‐related quality of life (HRQoL) in a sample of Spanish older adults who are institutionalised in long‐term care (LTC) facilities. One hundred fifteen institutionalised individuals (47.82% women; 88.3 ± 7.9 years) from southern Spain completed a set of questionnaires that included measures of EI, health and personality. Data were analysed via hierarchical regression. After controlling for personality and sociodemographic variables, the EI dimensions, emotional comprehension and emotional facilitation, accounted for part of the variance in several HRQoL facets. These dimensions could have an important role in the HRQoL of residents in LTC. Moreover, the use of a performance measure addresses the limitations of previous studies that have relied on self‐report measures. These aspects underscore the importance of the results of this study.     

Emotion regulation and psychopathological symptoms of Chinese school‐age children: A person‐centred and multi‐informant approach

Emotion regulation (ER) is a critical component of children's development. Many previous studies have utilised a single‐assessment method to reflect child ER, which might result in losing important information regarding the unique contribution of each informant. With a person‐centred approach and multi‐informant reports (mother, teacher and child), the current study examined 196 children's (age M = 9.21, SD = 1.10, range = 7–11 years; 51% girls) ER patterns and their associations with psychopathological symptoms in a Chinese sample. A model‐based clustering procedure resulted in 3 ER groups: the poor family ER group (n = 36), poor school ER group (n = 120), and overall good ER group (n = 40). Significant differences were found among ER clusters on teacher‐reported child psychopathological symptoms compared on the levels of withdrawn depression, somatic complain, thought problems and attention problems. No significant differences were found on the mother‐reported psychopathological symptoms. Compared with children in the poor school or poor family ER clusters, children in the overall good ER group demonstrated fewer psychopathological symptoms at school. Our results confirmed the advantage of adopting multi‐informant assessments to fully capture children's emotional profiles and linked these profiles with children's emotional and behavioural functioning at school.     

A multi‐process model of self‐regulation: Influences of Mindfulness,Integrative Self‐Knowledge and Self‐Control in Iran

Self‐regulation presumably rests upon multiple processes that include an awareness of ongoing self‐experience, enduring self‐knowledge and self‐control. The present investigation tested this multi‐process model using the Five‐Facet Mindfulness Questionnaire (FFMQ) and the Integrative Self‐Knowledge and Brief Self‐Control Scales. Using a sample of 1162 Iranian university students, we confirmed the five‐factor structure of the FFMQ in Iran and documented its factorial invariance across males and females. Self‐regulatory variables correlated negatively with Perceived Stress, Depression, and Anxiety and positively with Self‐Esteem and Satisfaction with Life. Partial mediation effects confirmed that self‐regulatory measures ameliorated the disturbing effects of Perceived Stress. Integrative Self‐Knowledge and Self‐Control interacted to partially mediate the association of Perceived Stress with lower levels of Satisfaction with Life. Integrative Self‐Knowledge, alone or in interaction with Self‐Control, was the only self‐regulation variable to display the expected mediation of Perceived Stress associations with all other measures. Self‐Control failed to be implicated in self‐regulation only in the mediation of Anxiety. These data confirmed the need to further examine this multi‐process model of self‐regulation.     

MCDM methods in strategic planning of forestry on state‐owned lands in Finland: applications and experiences

The forests in Finland have been under intensive planning for decades. Currently, mathematical programming is widely used in planning of wood production. Today's multi‐functional forestry, however, calls for more flexible decision support methods. MCDM tools have been used in responding to fresh planning challenges. For example, the Finnish Forest and Park Service, entrusted with the care of the vast majority of state‐owned natural resources in Finland, endeavours to produce large‐scale natural resource plans satisfying the needs of both economic, social, and ecological sustainability. Participatory approach is applied in the process. Several forestry applications of MCDM methods, particularly those making use of the AHP or the HIPRE program, have been presented. Also, the outranking methods ELECTRE and PROMETHEE have been tested. Due to the nature of forestry applications, statistical techniques for analysing uncertainties in pairwise comparisons and for utilizing interval judgement data have been developed to improve the usability of the AHP. Recently, a hybrid method called A'WOT, making use of the AHP and SWOT, was also introduced into strategic forest planning. This paper summarizes the experiences gained in applying a MAVT and two outranking methods in connection with a participatory natural resource planning process in Finland. In addition, some results of the method development work related to application needs are briefly presented. The details of the planning cases reviewed here have previously been presented in forestry journals. The purpose of this paper is not only to show how MCDM methods have been applied in forestry, but also to discuss the usability and usefulness of MCDM methods from the viewpoint of supporting forestry decision making—and how they might further be improved. Also, some perspectives for the future development work of MCDM applications in the field of natural resource management are focused on. As a conclusion, the use of more than just one MCDM method in a single planning process is seen usually recommendable. In addition, developing hybrid MCDM methods is regarded as a potential direction for future research. Also, closer co‐operation between method developers and appliers is called for to produce more useful applications. Copyright © 2002 John Wiley & Sons, Ltd.