Sensitivity analysis with interdependent criteria for multicriteria decision making: The case of soil pollution treatment

This paper is focused on interdependences between criteria in multicriteria decision analyses. Such interdependences are usually ignored in sensitivity analyses. After a discussion on the nature of interdependences, methods are presented to deal with interdependences in the context of Monte Carlo experiments. These methods are applied in the context of soil pollution treatment alternatives. It is shown that ignoring interdependences may have a distorting effect on the results of sensitivity analysis on rankings of alternatives.     

解决标准集未知题的易错性成因

解决标准集未知题容易出错,目前人们主要从关系换位和关键词策略两个角度予以解释。该研究提出概念驱动假设并用4个实验加以检验。主要实验结果如下：学生编写出的问题主要是比较集未知题;解决标准集未知题和比较集未知题的两种先后顺序产生了不尽相同的干扰模式;数据加工水平影响概念驱动作用。在文章最后讨论了该研究对教学工作的含义。     

多维效标测量的构成

通过为某机床企业销售员制定一套自我绩效评定迫选量表,收集判断性效标测量和非判断性效标测量,研究判断性效标测量和非判断性效标测量与自我绩效评定迫选量表中各工作行为的关系,验证了两个假设：(1)任一效标测量不可能与所有有效工作行为显著相关;(2)在效标测量中,既应采用判断性效标测量,也应采用非判断性效标测量,二者互相补充,不可替代。     

Evaluating interobserver reliability of interval data

Previous recommendations to employ occurrence, nonoccurrence, and overall estimates of interobserver reliability for interval data are reviewed. A rationale for comparing obtained reliability to reliability that would result from a random-chance model is explained. Formulae and graphic functions are presented to allow for the determination of chance agreement for each of the three indices, given any obtained per cent of intervals in which a response is recorded to occur. All indices are interpretable throughout the range of possible obtained values for the per cent of intervals in which a response is recorded. The level of chance agreement simply changes with changing values. Statistical procedures that could be used to determine whether obtained reliability is significantly superior to chance reliability are reviewed. These procedures are rejected because they yield significance levels that are partly a function of sample sizes and because there are no general rules to govern acceptable significance levels depending on the sizes of samples employed.     

伦理学视野中的所有制问题

所有制问题是经济伦理研究中的一个重要问题。如何确立所有制评价的伦理标准 ,对所有制问题进行伦理审视 ,探求道德完善的现代所有制形式 ,有助于为我国的经济改革提供必要的伦理支持和价值导向。     

‘Yes,we have bananas!’1

This paper takes as its starting point ‘identifying markers of Latin American psychoanalysis’. The authors see this theme as a compromise between two diverging approaches. On one hand, the conference at which the content was presented provided the opportunity for Latin American psychoanalytical thinking to be discussed and, as a reward to the best papers, to be published. On the other, both the conference and the reward are more indicative of the observer's biases than of the object's peculiarities. The authors consider that the conference mistakenly focused on the search for minor differences (secondary identifi cations) instead of looking for invariances (identities). Considering that uncertainty, pluralism and complexity are issues relevant to the whole of psychoanalysis in its current stage of development as a scientifi c discipline, the authors think that treating these elements as ‘identifying markers of Latin American psychoanalysis’ is evidence of prejudice brought about by a coloniser‐colonised relationship. To develop their argument, the authors discuss a paper on editorial criteria by Tuckett as a clinical case, and use an episode of Brazilian history as further illustration. They address issues such as conformity to cultural patterns; the search for certainties and proofs; the domination of some groups over others; and editorial power‐more specifi cally, its infl uence on the acceptance or rejection of scientifi c ideas. These issues have distracted attention away from the fundamentals of psychoanalysis by introducing other, extraneous aims. Publication plays a key role in feeding a possibly vicious circle wherein only a small proportion of scientifi c contributions manages to reach a wide audience‐exactly those contributions that conform to established patterns. The act of publication turns that portion into offi cial knowledge, while unpublished ideas become increasingly excluded.     

Empirically Supported Complexity

Abstract— Over the last 10 years, evidence-based practice in psychology has become synonymous with a particular operationalization of it aimed at developing a list of empirically supported therapies. Although much has been learned since the emergence of the empirically supported therapies movement, its restrictive definition of evidence (excluding, for example, basic science as a source of evidence to be used by clinicians) is problematic, and the assumptions inherent in its nearly exclusive focus on brief, focal treatments for specific disorders are themselves not generally supported by the available data. Recent meta-analytic data support a more nuanced view of treatment efficacy than one that makes dichotomous judgments of empirically supported or unsupported, suggesting the need for a more refined concept of evidence-based practice in psychology.     

Navigation in multiobjective optimization methods

Building on previous work of the authors, this paper formally defines and reviews the first approach, referred to as navigation , towards a common understanding of search and decision‐making strategies to identify the most preferred solution among the Pareto set for a multiobjective optimization problem. In navigation methods, the decision maker interactively learns about the problem, whereas the decision support system learns about the preferences of the decision maker. This work introduces a detailed view on navigation leading to the identification of integral components and features. A number of different existing navigation methods are reviewed and characterized. Finally, an overview of applications involving navigation is given, and promising future research direction are discussed.     

Optimal selection of E‐learning websites using multiattribute decision‐making approaches

A computational quantitative model based on weighted Euclidean distance‐based approximation and complex proportional assessment has been developed for the evaluation, selection, and ranking of various E‐learning websites in ascending or descending order based on their Euclidean distance value from the optimal website. The E‐learning website with rank 1 is considered the optimal selection on the particular dataset under consideration. The problem of the E‐learning website Selection, Evaluation and Ranking is modeled as a multiattribute decision‐making problem in which various interrelated attributes collectively termed as ranking criteria are identified to make the evaluation of available alternatives. In this research, 5 most popular E‐learning websites related to the C programming language for the software development have been considered to show the utility of developed model. Further, the concept of methodology validation strengthens this research by comparing the obtained results with the existing multiattribute decision‐making approach as analytical hierarchy process method.