The Multiplicative AHP,SMART and ELECTRE in a Common Context

This paper presents a comparative study of three popular methods for multicriteria decision analysis based on a particular model of human preferential judgement. Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on an axis of desirability. Next we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the analytic hierarchy process (AHP) and the French collection of ELECTRE methods, typically based on pairwise comparison methods, are concerned with categories of ratio magnitudes, whereas the simple multiattribute rating technique (SMART) essentially uses orders of magnitude of these ratios. This phenomenon provides a common basis for the analysis of the methods in question and for a cross-validation of their results. We illustrate the approach via a well-known case study, the choice of a location for a nuclear power plant. We conclude by discussing the scope of the comparative study. © 1997 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.     

Ranking Alternatives on the Basis of Preference Relations: A Progress Report with Special Emphasis on Outranking Relations

This paper is devoted to the study of techniques allowing one to rank order the elements of a finite set on the basis of a non-necessarily complete or transitive binary relation. In the area of MCDM, such a problem occurs with outranking methods. We review a number of theoretical results concerning this problem and show how they may be useful in order to guide the choice of a particular technique. © 1997 John Wiley & Sons, Ltd.     

Experimental consideration of preference in decision making under certainty

This paper describes an experiment in decision making under certainty with multiple, conflicting objectives and continuous decision variables. Two techniques for analysing such problems are considered: one taken from the paradigm of multicriteria decision making (MCDM), a non-directed approach called the NAIVE technique, and one from the paradigm of multiattribute decision analysis (D/A), the SMART technique. While the two techniques seek and are throught to arrive at the same end—a solution which is in some sense optimal for the decision maker (DM)—the former approach implicitly incorporates DM preferences while the latter approach considers preferences explicitly. The setting is a laboratory study using a sample of university students on a three-criteria problem which is designed to study the extent to which value functions implied/assessed by the techniques are consistent with DMs' holistic ranking of alternatives. Results show that (1) the two techniques of interest show significantly better rank order correlation with holistic judgement compared with other techniques, (2) DMs prefer the non-directed MCDM approach and (3) subjects break down into two groups: those that use assessable value functions when ranking and those that do not. This implies that for small-dimensioned problems DMs may first need to be classified as to the assessability of their value functions before a solution method is chosen.     

Outranking-Based Interactive Exploration of a Set of Multicriteria Alternatives

Interactive procedures are very effective for exploring sets of alternatives with a view to finding the best compromise alternative. In this paper we consider the interactive exploration of implicitly or explicitly given large sets of alternatives. Upon review of classical interactive procedures, which usually assume a utility function preference model, we distinguish three typical operations used in various interactive procedures: contraction of the explored set, exploration of some neighbourhood of a current alternative and reduction of a sample of the explored set. After pointing out some areas for improvement in the traditional procedures, we describe three interactive procedures performing the three operations respectively using an outranking relation preference model. Owing to the proposed ways of building and exploiting the outranking relation, the weak points of the traditional procedures can be overcome. Finally we solve an exemplary problem using all three procedures. © 1997 John Wiley & Sons, Ltd.     

A Common Framework for Describing Some Outranking Methods

Outranking methods such as ELECTRE have been proposed for aggregating preference information on several criteria into an overall preference structure in cases where the multiattribute utility approach is not appropriate or feasible. We present here a framework in which such methods may be described and, hopefully in the future, axiomatically characterized. We point out several characteristics such as independence and semiordinality which seem to be pertinent to delineate the field of application of these procedures. © 1997 John Wiley & Sons, Ltd.     

Outranking Relations: Do They Have Special Properties?

Outranking relations are most often built using a concordance–discordance principle. Such relations are in general neither transitive nor complete. This is not to say that the concordance–discordance principle does not impose some ‘structural’ restrictions on these relations. We show why this question may be of some importance for analysing the various techniques designed to build a recommendation on the basis of such relations. These restrictions are studied for the ELECTRE and PROMETHEE methods.     

Duration-based measures of preference for vocational tasks

We compared results from two preference assessments with data on extended performance of vocational tasks by 4 participants with developmental disabilities. All participants engaged in one task exclusively when seven tasks were available concurrently during a 5-min multiple-stimulus assessment. By contrast, all participants exhibited high levels of engagement in most tasks when the tasks were presented singly for 5 min, and these data showed a high degree of correspondence with those obtained during extended (60-min) vocational assessments.     

上海市大学生网络行为偏好的实证研究

以上海市6所高校的565名大学生作为被试,采用定量与定性相结合的方法,探讨不同年级、不同性别、文理科大学生的网络行为偏好.结果表明,在信息获得偏好得分上,文科生显著高于理科生,男、女生得分差异不显著,存在显著的年级与学科交互作用,随年级增加信息获得偏好得分呈递增趋势;在游戏偏好得分上,男生显著高于女生,理科生显著高于文科生,随年级增加游戏偏好得分呈递减趋势,性别与学科,年级与学科均存在显著交互作用.交往偏好得分的性别、专业、年级的主效应不显著,但性别与学科有非常显著的交瓦效应.     

DISPLACEMENT OF LEISURE REINFORCERS BY FOOD DURING PREFERENCE ASSESSMENTS

Identification of reinforcers for individuals with developmental disabilities is often based on the outcome of preference assessments in which participants make selections from among a variety of items. We determined the extent to which individuals might show a general preference for food items over leisure items during such assessments and whether leisure items that are “displaced” by food items might nevertheless function as reinforcers. Arrays consisting of food items only and then nonfood items only were presented separately to 14 participants and then were ranked to determine preference. The top selections from these initial assessments were subsequently combined in a third assessment, and preferences were again established. All but 2 participants showed a general preference for food items, such that selection of nonfood items in the combined arrays was displaced downward relative to selection of nonfoods in the nonfood-only arrays. Two of the participants were exposed to a condition in which a nonfood item was delivered contingent on the occurrence of an adaptive response, and increased rates of responding by both individuals were observed. Results are discussed in terms of limitations posed by using only food items as reinforcers and the resulting need to take precautionary measures when attempting to identify nonfood reinforcers.