A Recourse Stochastic Goal Programming Approach for the Multi‐objective Stochastic Vehicle Routing Problem

This paper addresses a multi‐objective stochastic vehicle routing problem where several conflicting objectives such as the travel time, the number of vehicles in use and the probability of an accident are simultaneously minimized. We suppose that demands and travel durations are of a stochastic nature. In order to build a certainty equivalent program to the multi‐objective stochastic vehicle routing problem, we propose a solution strategy based on a recourse approach, a chance‐constrained approach and a goal‐programming approach. The resulting certainty equivalent program is solved to optimality using CPLEX. Copyright © 2016 John Wiley & Sons, Ltd.     

The Stochastic Goal Programming Model: Theory and Applications

Supported by a network of researchers and practitioners, the goal programming (GP) model is alive today more than ever and is continually fed with theoretical developments and new applications with resounding success. The standard formulation of the GP model was introduced in the earliest of 1960s, and since then, important extensions and numerous applications have been proposed. One of these variants is the stochastic GP model that deals with the uncertainty of some decision‐making situations by using stochastic calculus. In such a situation, the decision maker is not able to assess with certainty the different parameters. However, he or she can provide some information regarding the likelihood of occurrence of the decision‐making parameter values. The aim of this paper is to highlight the main methodological developments of the stochastic GP model and to present an overview of its applications in several domains. Copyright © 2012 John Wiley & Sons, Ltd.     

A Fuzzy Goal Programming Formulation with Multiple Target Levels

The essential activity of a manager is decision making, which is becoming more and more complex, mainly in the multi‐criteria problems. Multi‐choice goal programming (MCGP) is considered as a robust tool in operational research to solve this type of problem. However, in real world problems, determining precise targets for the goals is a difficult task. To deal with such situation, Tabrizi introduced and used in 2012 the concept of membership functions in the MCGP model in order to model the targets fuzziness of each goal. In their model, they considered just only one type of functions (triangular form), which does not reflect adequately the decision maker's preferences that are considered as an essential element for modelling the goal's fuzziness. Their model is called Fuzzy MCGP. In this paper, new ideas are presented to reformulate MCGP model to tackle all types of functions by introducing the (decision maker's) preferences. The concept of indifference thresholds is used in the new formulation for characterizing the imprecision and the preferences associated with all types of the goals. The proposed formulation provides useful insight about the solution of a new class of problems. A numerical example is given to demonstrate the validity and strength of the new formulation. Copyright © 2013 John Wiley & Sons, Ltd.     

Preference Structure Modelling for Multi-objective Decision Making: A Goal–Programming Approach

We propose a new approach for modelling preference structures in multi-objective decision-making (MODM) problems. The basic idea of the approach is to first develop PROMETHEE-influenced objective functions and then to use these to reformulate the problem as a distance-based goal–programming (GP) model. Three basic functional forms are proposed and explicit expressions are developed for them. Among other things, the expressions allow for the straightforward development of an interactive framework while keeping the information requirements from the decision maker (DM) at a minimum. An ‘automatic’ piecewise linear approximation scheme is proposed for solving the GP model. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 150–154 (1997) No. of Figures: 0. No. of Tables: 0. No. of References: 12.     

Utility Functions: A Compromise Programming Approach to Specification and Optimization

Nowadays, utility theory and compromise programming (CP) are considered very different paradigms and methodologies to measure preferences as well as to determine decision maker's optima on an efficient frontier. In this paper, however, we show that a utility function with separate variables (presented in the form of a Taylor series around the ideal point) is reducible to a weighted sum of CP distances. This linkage between utility and compromise (based on a main assumption in which the usual utility functions hold) leads to (i) a method for specification and optimization of usual utility functions by operational technique and (ii) a reformulation of standard CP with the advantage of determining the best CP solution from a utility perspective. © 1997 John Wiley & Sons, Ltd.     

A Closer Look at Life Goals Across Adulthood: Applying a Developmental Perspective to Content,Dynamics, and Outcomes of Goal Importance and Goal Attainability

It is well established that goals energize and direct behaviour across the lifespan. To better understand how goals are embedded in people's lives across adulthood, the present research examined life goals' content (health, personal growth, prosocial engagement, social relations, status, work), dynamics (interplay between goal importance and goal attainability), and outcomes (subjective well‐being) from a developmental perspective. We argue that people rate those goals as important and attainable that enable them to master developmental tasks, that they adapt their goals to personal capacities, and that goals predict subjective well‐being after 2 and 4 years. The sample included 973 individuals (18–92 years old, M = 43.00 years) of whom 637 participated 2 years later and 573 participated 4 years later. Goal importance and well‐being were assessed at all occasions and goal attainability at the first two occasions. Results indicated that age was negatively associated with importance and attainability of personal‐growth, status, and work goals but positively associated with importance and attainability of prosocial‐engagement goals. The association between goal importance and attainability was largely bidirectional over time; and goal attainability, rather than goal importance, was positively linked to later well‐being. Implications of these findings are discussed in light of adult lifespan development. © 2019 European Association of Personality Psychology     

R&D Project Selection: A Decision Process Approach

The fundamental decision problem of an R&D firm is to select projects in which to invest. Most reported models dealing with this subject use sophisticated mathematical models maximizing specific attributes of the projects without dealing with the underlying motivation of the decision maker. This paper summarizes a successful application of a decision-making process involving multicriteria in the selection of R&D projects in the Ecogen Israel Partnership. We emphasize the structure of the decision problem, with the main goal of helping the decision maker to better understand the nature of his problem. We systematically generate the objective hierarchy of the decision maker, including his main criteria, subcriteria attributes and alternatives. The ‘best’ alternative can then be found using most interactive procedures found in the literature. As the decision maker is totally involved in the entire decision-making process he is better able to understand his problem and preferences.     

University Students' Emotion During Online Search Task: A Multiple Achievement Goal Perspective

Endorsing a multiple goal perspective, students' academic emotions were examined with different goal profiles while solving learning tasks online. One hundred and seven Chinese undergraduates were classified based on the 2 × 2 achievement goal framework into three groups: Mastery-approach-focused, Approach-oriented, and Avoidance-oriented group. Participants' emotional states were assessed immediately prior to the task and following the task. Prior to the task, the Avoidance-oriented group reported significantly higher levels of deactivated negative emotion (i.e., bored and confused) than the Approach-oriented group. The Mastery-approach-focused group reported significantly higher levels of activated positive emotions (i.e., excited and eager) than the Avoidance-oriented group after the task. Within each group, all three groups followed a similar emotion change pattern prior versus after the search task in deactivated positive emotion, with a significant increase. In addition, the Mastery-approach-focused group also reported a significantly higher level of happiness after completing the task, whereas the other two groups did not report much change. The Avoidance-oriented group also reported a significant drop in the feeling of excitement, eagerness, anxiety, and nervousness; whereas, the Approach-oriented group reported a significantly higher level of confusion after the task was finished. Implications of the findings are further discussed.     

Individual Goal Orientations,Team Empowerment,and Employee Creative Performance: A Case of Cross‐level Interactions

Intrigued by relationship between team motivational context and individual characteristics in the organizational reality, we developed and tested a cross‐level model to investigate the interactive effects of team empowerment and individual goal orientations on individual creative performance through the mediating mechanism of an individual's creative self‐efficacy. Using multi‐wave multi‐source data from 63 R&D teams in three IT companies, we found that (1) team empowerment, individual learning goal orientation, and individual performance orientation are all positively related to individual creative performance through mediation of creative self‐efficacy; (2) learning orientation and performance approach orientation could both supplement the effects of team empowerment on individual creative self‐efficacy. Our findings point to the importance of individual goal orientation in shaping the effects of team motivation climates and provide insights for both scholars and practitioners. The specific practical implications include but are not limited to (1) individuals with learning and performance approach orientations should be identified during hiring procedures given that they could still thrive in less empowered teams and maintain a relatively high level of creative self‐efficacy and creative outcomes; (2) managers should consider assigning employees who are more learning oriented to more empowering and open‐ended tasks in order to obtain better creative results.     

无意识成就目标激活与追求:来自ERP的证据

为探索无意识目标激活的神经机制,采用单因素被试内设计,自变量为目标激活阶段无意识成就目标激活(有、无),因变量为阈下呈现的成就目标相关词(成就目标无关词)出现后所诱发的ERP成分,以及目标追求阶段被试判断两位数加减法算术式的正确率和平均反应时。结果发现:(1)无意识成就目标能够通过阈下启动得以激活;(2)阈下呈现的成就目标相关词诱发了一个明显的N200成分,可能反映了大脑执行控制功能在个体无意识成就目标激活与追求中的重要作用。     

Evaluating Fund Performance by Compromise Programming with Linear‐Quadratic Composite Metric: An Actual Case on The CaixaBank in Spain

This paper proposes an additive measure on the basis of compromise programming to evaluate fund performance from multiple criteria, of which the most usual are profitability and risk. This proposal is motivated by the fact that compromise programming is a sound decision support model to obtain scores of alternatives by minimizing weighted distances to an ideal point, the weights reflecting the investor's preferences for the criteria. To define the distance objective function, the linear‐quadratic composite metric is used, which combines advantages of linear and non‐linear objective functions. A critical advantage of compromise programming for fund performance evaluation is that the model can be extended to more than two financial criteria while other measures currently used (either ratio‐based or leverage‐based measures) only consider two criteria, say, profitability and risk. In the application, three investor's profiles are defined, which involve different weighting systems and lead to different fund rankings. These rankings are compared with domination relationships, the latter formulating if a fund is dominated or non‐dominated by convex combinations of other funds. Numerical tables are provided with data, computational process and results, which are analysed. Copyright © 2012 John Wiley & Sons, Ltd.     

A Sociocultural Approach to Narcissism: The Case of Modern China

Using large Internet samples, we examined the possible influence of sociodemographic factors on the Chinese self‐concept and in particular, on the level of narcissism. We found that (i) younger persons are more narcissistic than older ones; (ii) persons from higher socioeconomic classes are more narcissistic than those from lower socioeconomic classes; (iii) persons from only‐child families are more narcissistic than those from families with multiple children; (iv) persons from urban areas are more narcissistic than those from rural areas; and (v) individualistic values are predictive of individual differences in narcissism. The findings suggest that sociocultural changes contribute to the rise of narcissism in China. Copyright © 2011 John Wiley & Sons, Ltd.     

No Justice Without Democracy: A Deliberative Approach to the Global Distribution of Wealth

Abstract

The debate about global distributive justice is characterized by an often stark opposition between universalistic approaches, advocating an egalitarian global redistribution of wealth (Beitz, Pogge, Barry, Tan), and particularistic positions, aiming to justify a restriction of redistribution to the domestic community (D. Miller, R. Miller, Blake, Nagel, Rawls). I argue that an approach starting from the deliberative model of democracy (Habermas) can overcome this opposition. On the one hand, the increasingly global scope of economic interactions implies that the range of individuals concerned with the redistribution of wealth should also be increasingly universal. On the other hand, the need for democratic deliberation refers to the fact that demands of justice should be contextual and should take into account the particular circumstances, needs and values of the people concerned. Both concerns can be realized simultaneously only within a multi‐layered democratic system in which redistribution is a concern at the domestic, the international and the global level.     

Decision‐Analytic Approach for Water Sustainability Definition: A Higher Education Case Study

The purpose of this paper is to describe the development of a multi‐criteria decision analysis approach that can be used to circumscribe the definition of sustainability within an organization or institution with multiple operational divisions. Although our overall definition of sustainability is a process, the George Washington University (GW) definition of water sustainability is articulated through construction of an objective‐value hierarchy representing GW's strategic objectives and articulation of strength of preference among the attributes in that hierarchy. This study used multi‐criteria decision analysis methods, including structured interviews with four individual stakeholders and swing weighting. Three findings are of note. First, our stakeholders' thinking about their objectives was greatly influenced by perceived constraints and mandatory obligations on institutional performance implied by contracts or tradition. Second, in considering the trade‐off weights obtained from the swing‐weighting portion of the value assessment, all stakeholders placed similar emphasis on each of the fundamental objectives. Third, because of the decentralized nature of the university, the process through which the value assessment will be achieved must be transparent and accepted by each of the stakeholders supporting sustainability decisions. This case study illustrates a decision‐analytic sustainability approach that may be applied to large‐scale infrastructure systems, stakeholder engagement and negotiation in sustainability investments or alternatives assessments. Although the commitment to reduce climate impacts has been widespread, there have been fewer publicly announced water initiatives at the university level. At the university level, GW is only one of a handful of universities with a cohesive, visible, water plan. In addition, we demonstrate an approach in which explicit structuring of fundamental sustainability objectives may increase transparency for sustainability definition construction. Copyright © 2014 John Wiley & Sons, Ltd.     

Multicriteria Classification with Unknown Categories: A Clustering–Sorting Approach and an Application to Conflict Management

This work proposes an approach to cluster and sort a set of alternatives considering multi‐criteria categories with a partial order structure. It can be considered a heuristic approach because it does not attempt to derive an optimal partial order among all conceivable clusters of alternatives. Rather than this, it intends to be a simple approach that is transparent to the Decision Maker (DM) whose assistance is sought to help shaping the results. The approach proposed arises from the conjugation of traditional Clustering analysis and Multi‐criteria sorting tools. At the outset, the number of categories and their characteristics is unknown. First, we need to detect only the clusters themselves on the basis of a similarity measure independent of the preferences of the DM. Next, we detect potential partial order relations that might exist between them, according to the subjective preferences of the DM. Such preferences are elicited only after the DM has examined the clusters detected and deemed that these categories made sense. The new approach performs very well in a real‐world problem of management of intragroup conflicts and conflict handling strategies. Copyright © 2012 John Wiley & Sons, Ltd.     

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach

Experimentation is at the heart of scientific inquiry. In the behavioral and neural sciences, where only a limited number of observations can often be made, it is ideal to design an experiment that leads to the rapid accumulation of information about the phenomenon under study. Adaptive experimentation has the potential to accelerate scientific progress by maximizing inferential gain in such research settings. To date, most adaptive experiments have relied on myopic, one‐step‐ahead strategies in which the stimulus on each trial is selected to maximize inference on the next trial only. A lingering question in the field has been how much additional benefit would be gained by optimizing beyond the next trial. A range of technical challenges has prevented this important question from being addressed adequately. This study applies dynamic programming (DP), a technique applicable for such full‐horizon, “global” optimization, to model‐based perceptual threshold estimation, a domain that has been a major beneficiary of adaptive methods. The results provide insight into conditions that will benefit from optimizing beyond the next trial. Implications for the use of adaptive methods in cognitive science are discussed.     

A Multicriteria Decision‐Making Application to the Conceptual Design of Mechanical Components

Early design is crucial for the success of the final product. In the conceptual design phase, several constraints, criteria, objectives and disciplines have to be considered. To this aim, multidisciplinary optimization has proven effective for the solution of engineering design problems, even in the industrial every‐day practice, to improve and simplify the work of designers in a successful quest of the best compromise solution. In this paper, a multicriteria decision‐making (MCDM)‐based design platform for early optimal design of industrial components is proposed. In a group decision‐making context, the selection of the most suitable component among several possible layouts is performed by means of a group Fuzzy Technique for Order of Preference by Similarity to Ideal Solution approach. Hence, a multi‐objective optimization is performed on the selected component by applying a multi‐objective particle swarm optimization for finding optimal component dimensions. An industrial case study is presented for showing the efficiency of the multicriteria decision‐making‐based design platform, regarding an innovative and low‐cost solution to increase the duration of heel tips in women's shoes. Copyright © 2016 John Wiley & Sons, Ltd.     

Case Report: A Systems Approach to Genetic Counseling for Albinism

A systems approach to family therapy assumes that a person and his/her problems do not operate in a social vacuum but instead are imbedded in a social context. This context includes fairly small social systems such as a nuclear family and larger social systems such as school systems and cultural beliefs. A case of a girl with albinism born to a couple from India will be used to discuss how a systems approach might be useful in a genetic counseling setting.     

An Occupational Therapist's Interdisciplinary Approach to a Geriatric Psychiatry Activity Group: A Case Study

Occupational therapy has long recognized the usefulness of activity groups to promote functional outcomes for clients in mental-health settings. An occupational therapist used an interdisciplinary approach (working with a psychiatric nurse practitioner and a manual arts therapist) to conduct a biweekly geriatric psychiatry activity group. A case study is presented to demonstrate the success and longevity of the interdisciplinary activity group. Each clinician contributed unique skills to provide occupation which provided positive outcomes for the clients. Practically, the employing of different disciplines allowed group coverage for each other in times of cost-containment and limited resources.     

Perceived Intrafamilial Connectedness and Autonomy in Families With and Without an Anxious Family Member: A Multiple Informant Approach

Perceived intrafamilial “emotional connectedness” and “autonomy” were investigated within families with and without an anxious family member using a multiple informant approach. The sample consisted of 32 mothers with a current anxiety disorder and 56 controls, their partners, and their anxious and nonanxious teenage children. No differences were found with respect to the perceived family relationships of family members with versus without anxious mothers. However, compared with nonanxious adolescents, anxious adolescents perceived less autonomy in relation to both parents. Mothers of anxious adolescents also perceived their children to be less autonomous toward them and their partners, than mothers of nonanxious adolescents. In contrast with “autonomy,” “emotional connectedness” was not reported to be different between families with and without an anxious adolescent. Agreement among family members and the importance of perceived individual autonomy in the development of anxiety are discussed.