基于累积前景理论的智能电网多零售商服务评价

Multi-retailer Service Evaluation of Smart Grid Based on Cumulative Prospect Theory

基于累积前景理论,引入奖惩罚劣[-1, 1]算子和灰关联决策系数对选取多零售商评价指标进行处理,得到新的前景价值函数,计算出各零售商的综合前景值进行排序,并与期望效用值下的排序进行比较,算例表明综合前景值更能反映出用户的真实评价。用户更喜欢在一个服务合同中提供多种措施的零售商。给予用户一定的消费者激励可以提高他们对零售商服务评价的满意度,并且能够弥补技术不完善和服务态度欠缺给用户带来的损失。

Based on the cumulative prospect theory, a reward punishment [-1, 1] operator and a grey correlation decision coefficient were introduced to deal with the selection of multiple retailer evaluation indexes, and a new prospect value function was obtained. The comprehensive prospect value of each retailer was calculated to rank and compare with that under the expected utility value. The example shows that the comprehensive prospect value can better reflect the real evaluation of users. Users prefer retailers who offer multiple measures in a service contract. A certain consumer incentive can improve the satisfaction of service evaluation of retailers, and make up for the loss of users caused by imperfect technology and lack of service attitude.