Study On The Supply And Demand Metching Method Of Emergency Decision-making Knowledge Based On Category Theory

When a public emergency emerges,a decision maker will be confronted with intricate problems in the emergency responses.It is of great necessity for decision makers to call for relevant decision-making knowledge so as to facilitate effective decision-making.Such decision-making knowledge acquisition usually depends on the participation of all the emergency departments.They need search,organize and integrate the fragmented decision-making knowledge that is related with specific problem scenarios,according various laws,regulations,plans and summaries.However because of the lower structuralized degree, the disordering related with emergency problems,the great difficulties of automated acquisition,the semantic oriented decision-making knowledge piece acquisition becomes the major problems of supporting emergency decision-making.So the studies on supply and demand matching method to fulfill effective problem-oriented knowledge supply will make an important impact both in theory and practice with the help of current knowledge management and computer technology.This dissertation aims to provide the supply and demand matching method of emergency decision-making knowledge based on the analysis of emergency decision-making knowledge demand and supply mechanism.Taking the category theory as the major tool and the administrative and computer sciences as the proper approach,from the angle of supporting decision-making,this dissertation lays an emphasis on the method of matching supply and demand under the complex decision situations and urgent knowledge supply requirements,as well as the implementation framework of supply and demand matching,knowledge representation,completion,similarity measure,merging and reorganization,in order to provide the theoretical and methodological support for the decision-making in emergency responses.This dissertation elaborates on the following items of research:(1) The demand and supply mechanism of emergency decision-making knowledge.This dissertation analyzes the requirements of quickly achieving knowledge acquisition from the angle of knowledge sources,forms of expression,agility and product properties.By means of the agile supply chain,we regard emergency decision-making knowledge as a distinctive product of considerable time-sensitiveness and structure,and present a supply mechanism of emergency decision-making knowledge based on it.For the Objectives of acquiring the effective semantic association of the supply and demand matching of decision making knowledge,this dissertation also proposes a semantic oriented implementation framework, through the introduction of category theory,to the supply and demand matching. (2) The categorical representation methods of emergency decision-making knowledge. This dissertation analyzes the semantic characteristics of decision-making knowledge and employs category theory as well as type category theory for the structural representation of decision-making knowledge.We propose the methods of conceptual modeling and knowledge representation,which are oriented to non-deduce semantic relationships,based upon category theory.These methods give much better semantic structure information to the knowledge pieces in emergency decision-making,and so to enhance the reliability of knowledge acquisition and provide an effective way for the two types of knowledge:problem scenario and decision-making knowledge,to be formalized in the process of knowledge supply.It conducts a research into the modeling and representing of emergency decision-making knowledge from a perspective of conceptual information integrated with structural information.(3) The semantic measure methods on categorical knowledge structures.Based on the categorical knowledge representation and improving the completeness of categorical knowledge pieces,we present a knowledge reasoning method using the categorical construction of analogical functors and pushouts,through knowledge association and deduction,to achieve the supplements of objects and morphisms.This dissertation proposes a similarity measure method for decision-making knowledge acquisition based on greatest common subcategory,and this method calculates the similarity between knowledge pieces from the perspectives of objects,morphisms,types and type categories.A knowledge merging method and the measure of multiple knowledge pieces merging are also presented.(4) The knowledge reorganization method of categorical knowledge structures.According the erratic property of semantic association,this paper present a reorganization methods based on genetic algorithms.This method conducts the genetic encoding by means of categorical type,estimates the individual adaptability with the similarity measure of knowledge pieces, and employs the semantic merging degree between knowledge pieces to be the heuristic evolution strategy,so as to achieve the reorganization of emergency decision-making knowledge.Through the simulated experiments on public health emergencies,the reorganization method can effectively establish reliable semantic association between problem scenarios and decision-making knowledge,and have better performance.From the perspective of theory and method,this paper studies the issues of emergency decision-making knowledge supply,proposes the supply and demand matching method based on the category theory.This research explores a new feasible way for effective emergency decision-making knowledge acquisition with the macroscopical and microcosmic views,and expands the application of the category theory in the fields of knowledge management.