多目标决策在小豆种质资源评价中的应用

基于熵权的多目标决策分析模型,结合模糊数学和熵的思想,运用多属性决策分析中的双基点法,对小豆种质进行定量评价.经综合评价,8个小豆种质材料从优到劣的顺序为B00766、B01805、B00091、B00651、B01670、B00655、B00388、B00774,避免了由单一性状指标来判断参试材料优劣所造成的偏差,可为育种亲本优选提供理论依据.结果表明,多目标决策评价模型在少量小豆种质资源的评价中运算简便,易于掌握.     

A Longitudinal Study of Decision Making in the Process of Acquiring a Dog

To prevent potential problems in the relationship between people and their dogs, it is important to engage in a thoughtful decision-making process with regard to acquiring a dog. To map the most important elements in the decision-making process, a social cognitive model was applied using seven psychological constructs: perceived advantages of having a dog; perceived disadvantages; the social norm; self-efficacy; optimism; expected commitment; and the intention to acquire a dog. People who were planning to acquire a dog within one year were asked to fill in an online questionnaire and another one 14 months later. The social cognitive constructs were operationalized in the baseline questionnaire, and in the follow-up participants were asked to report whether they had actually acquired a dog during the 14-month interval. The sample (n?=?588) largely consisted of females (88%) and those who had a high level of education (64%). The mean age of the participants was 40.9 years. The data showed significant relations among the decision-making variables, and significant differences between demographic variables related to these. In univariate longitudinal analyses, several social cognitive variables significantly predicted acquiring a dog in the 14-month period. When intention to acquire a dog was entered into the multivariate model, it remained the only predictor (OR = 2.16, p?<?0.001); the model explained 33% of the variance in acquiring a dog. It was possible to assess the main constructs that play a role in decision making regarding acquiring a dog: Most baseline measures were related to actual later behavior, also when taking into account all changes in other internal and external factors that may have taken place. Insight into the decision-making process makes it possible to intervene in it for the good of people, dogs, and their relationships.     

The Impact of Sustainability Information on Consumer Decision Making

This article presents an empirical analysis of the impact of sustainability information on consumer purchase intentions and how this influence varies by issue (health, environment, and social responsibility), product category, type of consumer, and type of information. We assess over 40,000 online purchase interactions on the website GoodGuide.com and find a significant impact of certain types of sustainability information on purchase intentions, varying across different types of consumers, issues, and product categories. Health ratings in particular showed the strongest effects. Direct users—those who intentionally sought out sustainability information—were most strongly influenced by sustainability information, with an average purchase intention rate increase of 1.15 percentage points for each point increase in overall product score, reported on a zero to ten scale. However, sustainability information had, on average, no impact on nondirect users, demonstrating that simply providing more or better information on sustainability issues will likely have limited impact on changing mainstream consumer behavior unless it is designed to connect into existing decision‐making processes.     

Weighting in Practice:Implications for the Use of Life-Cycle Assessment in Decision Making

This article investigates how environmental trade-offs are handled in life-cycle assessment (LCA) studies in some Nordic companies. Through interviews, the use and understanding of weighting methods in decision making was studied. The analysis shows that the decision makers require methods with which to aggregate and help interpret the complex information from life-cycle inventories. They agreed that it was not their own values that should be reflected in such methods, but they were found to have different opinions concerning the value basis that should be used. The analysis also investigates the difficulties arising from using such methods. The decision makers seemed to give a broader meaning to the term weighting, and were more concerned with the comparison between environmental and other aspects than the weighting of different environmental impacts. A conclusion is that decision makers need to be more involved in modeling and interpretation. The role of the analyst should be to interpret the information needs of the decision maker, and help him or her make methodological choices that are consistent with these needs and relevant from his or her point of view. To achieve this, it is important that decision makers do not view LCA as a highly standardized calculation tool, but as a flexible process of collecting, organizing, and interpreting environmental information. Such an approach to LCA increases the chances that the results will be regarded as relevant and useful.