题目：m-Polar Fuzzy Sets
Recently, the number of people who are interested in bipolar fuzzy sets and neutrosophic sets is growing rapidly. In this talk we will prove that bipolar fuzzy sets and $[0,1]^2$-sets (which is intuitive and has been studied deeply) are actually cryptomorphic mathematical notions. Since researches or modeling on real world problems are often involve multi-agent, multi-attribute, multi-object, multi-index, multi-polar information, uncertainty, or/and limit process, we put forward (or highlight) the notion of m-polar fuzzy set (actually, $[0,1]^m$-set which can be looked as a generalization of bipolar fuzzy set, where m is an arbitrary cardinal number), and illustrate how many concepts which have been defined based on bipolar fuzzy sets and many results which are related to these concepts can be generalized to the case of m-polar fuzzy sets. We also give examples to show how to apply m-polar fuzzy sets in real world problems.
李生刚，陕西师范大学教授、博士生导师，毕业于四川大学。研究方向：格上拓扑与模糊控制。主持完成两项国家自然科学基金项目，在《Applied Categorical Structures》、《Fuzzy Sets and Systems》、《Information Sciences》、《Theoretical Computer Science》、《Knowledge-Based Systems》、《IEEE Transactions on Systems, Man, and Cybernetics: Systems》等国内外学术期刊发表论文40余篇，获陕西省科技进步二等奖一项。