A Fuzzy Topsis Method for Prioritized Aggregation in Multi‐Criteria Decision Making Problems

Aggregation in a decision making environment requires the fusion of opinions of a group of decision makers. The group of decision makers are required to analyse a set of interrelated criteria that are usually measured on a linguistic scale. This process requires, in many instances, to capture experts experience, intuition and thinking that are traditionally expressed in a linguistic fashion rather than a numerical fashion. Furthermore, the necessity of considering the relationship between the criteria to the overall decision must be considered by the group of decision makers. This paper extends the application of fuzzy numbers, fuzzy relative importance scores (FRIS), fuzzy relative weights (FRW) and the fuzzy technique of order preference by similarity to ideal solution (TOPSIS) in prioritized aggregation. This extension provides a mean to systematically aggregate a group of decision makers' views for a set of interrelated criteria that are measured on a linguistic scale. First, an overview of the application of fuzzy numbers and the characteristics of aggregating fuzzy numbers in multi‐criteria decision making problems are presented. Then, the application of TOPSIS in fuzzy environments is presented. Next, past research is highlighted to present prioritized aggregation and the different aggregation operators' classes. Subsequently, a new prioritized aggregation method is presented. This method utilizes fuzzy TOPSIS with prioritized aggregation in fuzzy environments. Finally, the fuzzy prioritized aggregation method presented in this paper is applied on an actual case study. According to the results, the method presented in this paper provides a systematic approach to capture the uncertainty and imprecision associated with quantifying linguistic measurements in multi‐criteria decision making problems. Furthermore, it considers the relationship between the set of linguistically measured criteria undergoing prioritized aggregation in a fuzzy environment. Lastly, findings, conclusions and future work are presented. Copyright © 2016 John Wiley & Sons, Ltd.     

How Do Logics Explain?

Anti-exceptionalists about logic maintain that it is continuous with the empirical sciences. Taking anti-exceptionalism for granted, we argue that traditional approaches to explanation are inadequate in the case of logic. We argue that Andrea Woody's functional analysis of explanation is a better fit with logical practice and accounts better for the explanatory role of logical theories.     

Pain for the Moral Error Theory? A New Companions-in-Guilt Argument

The moral error theorist claims that moral discourse is irredeemably in error because it is committed to the existence of properties that do not exist. A common response has been to postulate ‘companions in guilt’—forms of discourse that seem safe from error despite sharing the putatively problematic features of moral discourse. The most developed instance of this pairs moral discourse with epistemic discourse. In this paper, I present a new, prudential, companions-in-guilt argument and argue for its superiority over the epistemic alternative.     

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.     

The multiple-stimulus-without-replacement preference assessment tool and its predictive validity

This study demonstrates the use of two web-based programs, one to identify video preferences and the other to assess their reinforcing effects. We used the Multiple-Stimulus-Without-Replacement Preference Assessment Tool (MSWO PAT) to identify the video preference hierarchies of seven participants, ages 4–11 years old. We then used a customized reinforcer assessment program that arranged a concurrent-chains preparation with programmed conjugate schedules of reinforcement. Button presses emitted by participants modulated the quality (volume and opacity) of selected videos on a moment-to-moment basis, allowing us to identify the reinforcing effects of the videos in little time. The results showed that the preference assessment had predictive value for five of seven participants. We discuss the MSWO PAT, parameters that may affect the identification of preferences and the use of conjugate schedules to identify reinforcers.     

Is Jessie right to end her life?

Presupposing that our consideration of ethical issues can be enriched by examining literary works, this paper focuses on Marsha Norman's play ‘night, Mother. The play describes the last hour and a half in the life of Jessie, a young woman who decides to die by suicide. Before ending her life, Jessie explains to her mother her reasons for her suicide. In the context of the play, these are presented as quite weighty and as, perhaps, justifying her decision. Scholarly research on the play has also treated Jessie's suicide favorably. In this paper I argue that Jessie, and people in similar conditions, are wrong to die by suicide. Among other points, I criticize Jessie's arguments from the impossibility to improve life; the assured termination of suffering; the badness of the world; and the right for suicide. I also criticize arguments in the scholarly literature that view Jessie's suicide favorably, such as the arguments from independence, heroism, authenticity, and emotional closeness.     

共产主义信念对道德认知的影响及认知机制

基于五个实验研究联合使用单类内隐联想范式与概念启动范式,探讨了共产主义信念与道德认知的关系及其认知机制。结果显示:(1)共产主义信念与道德在概念层面具有相容性;(2)在阈上、阈下水平启动共产主义信念均能够显著促进道德概念判断;(3)共产主义信念促进道德判断的启动效应呈现累积趋势,符合证据累积模型,而在词汇决定任务下未出现概念的扩散激活效应,不符合扩散激活模型。系列研究表明,新时代中国特色社会主义背景下,共产主义信念与道德认知产生了显著地关联,共产主义信念启动能够促进道德判断,且共产主义信念促进道德判断的启动效应并不是发生在语义层面,而是知觉层面。     

Adaptations for Youth

Aaron T. Beck exemplified the clinical scientist, willing to test his hypotheses, and willing to share his experiences and treatment features with others. Assessment and treatment of emotional disorders have been forever improved through the efforts of Aaron T. Beck. Using the psychological treatment of an emotional disorder in youth (i.e., anxiety), this commemorative reflects on how Aaron T. Beck’s clinical strategies have been impactful well beyond his initial focus. As a world-renowned clinical scientist, Beck’s work has influenced multiple fields addressing mental health. As a friend and colleague, Beck was a gentleman and a scholar.     

Human machine interface design for continuous support of mode awareness during automated driving: An online simulation

In the transition towards higher levels of vehicle automation, one of the key concerns with regards to human factors is to avoid mode confusion, when drivers misinterpret the driving mode and therewith misjudge their own tasks and responsibility. To enhance mode awareness, a clear human centered Human Machine Interface (HMI) is essential. The HMI should support the driver tasks of both supervising the driving environment when needed and self-regulating their non-driving related activities (NDRAs). Such support may be provided by either presenting continuous information on automation reliability, from which the driver needs to infer what task is required, or by presenting continuous information on the currently required driving task and allowed NDRA directly. Additionally, it can be valuable to provide continuous information to support anticipation of upcoming changes in the automation mode and its associated reliability or required and allowed driver task(s). Information that could support anticipation includes the available time until a change in mode (i.e. time budget), information on the upcoming mode, and reasons for changing to the upcoming mode. The current work investigates the effects of communicating this potentially valuable information through HMI design. Participants received information from an HMI during simulated drives in a simulated car presented online (using Microsoft Teams) with an experimenter virtually accompanying and guiding each session. The HMI either communicated on automation reliability or on the driver task, and either included information supporting anticipation or did not include such information. Participants were thinking aloud during the simulated drives and reported on their experience and preferences afterwards. Anticipatory information supported understanding about upcoming changes without causing information overload or overreliance. Moreover, anticipatory information and information on automation reliability, and especially a combination of the two, best supported understandability and usability. Recommendations are provided for future work on facilitating supervision and NDRA self-regulation during automated driving through HMI design.     

心理虐待与忽视对志愿投入的影响:链式中介效应分析

本研究根据道德认同模型与亲社会行为理论,以808名大学生志愿者为被试,通过问卷调查探索心理虐待与忽视对志愿投入的影响机制。结果发现:心理虐待与忽视对志愿投入的影响主要由公正世界信念与道德认同的中介作用来实现。本研究揭示了心理虐待与忽视与志愿投入的关系及内在机制,丰富了公正世界信念和道德认同的相关研究。