武汉大学社会保障研究中心研究员王增文教授以通讯作者身份在Technologicaland Economic Development of Economy（SSCI一区，IF=3.244）2018年第24卷第5期上发表了题为“CRM-BASED DYNAMIC DECISION-MAKING WITH HESITANT FUZZYINFORMATION FOR THE EVALUATION OF RANGELANDS”的论文。

【作者】Wang,Zengwen, etc.

【发表期刊】Technological and EconomicDevelopment of Economy

【发表时间】2018,24(5)

【摘要】Asone of the important components of global land ecosystem, rangeland ecosystemhas important value of ecosystem services. With the degeneration of rangelandin recent years, sustainability within rangeland ecosystem has become anincreasingly important issue. The aim of this paper is to develop a noveldynamic decision-making approach based on hesitant fuzzy information toevaluate rangeland sustainability that considers ecological, social andeconomic aspects. Firstly, a modified satisfaction degree of alternative ispresented, based on which a mathematical model for determining the stageweights is constructed. Secondly, the compromise ratio method (CRM), whosebasic principle is that the optimal alternative should have the nearestdistance from positive ideal solution and the longest distance from negativeideal solution simultaneously, is extended to accommodate hesitant fuzzyenvironment, and then adopted to tackle the dynamic decision-making withhesitant fuzzy information. Compared with the existing methods, the proposedmethod can eliminate the impact of attribute magnitude and dimension. Lastly, anumerical example on the evaluation of rangelands is provided to illustrate thepracticality and superiority of the proposed method.

【关键词】hesitantfuzzy set; dynamic decision-making; compromise ratio method; satisfactiondegree; rangeland sustainability evaluation