document: Formalization of weighted factors analysis Weighted factors analysis -LRB- WeFA -RRB- has been proposed as a new approach for elicitation , representation , and manipulation of knowledge about a given problem , generally at a high and strategic level . Central to this proposal is that a group of experts in the area of the problem can identify a hierarchy of factors with positive or negative influences on the problem outcome . The tangible output of WeFA is a directed weighted graph called a WeFA graph . This is a set of nodes denoting factors that can directly or indirectly influence an overall aim of the graph . The aim is also represented by a node . Each directed arc is a direct influence of one factor on another . A chain of directed arcs indicates an indirect influence . The influences may be identified as either positive or negative . For example , sales and costs are two factors that influence the aim of profitability in an organization . Sales has a positive influence on profitability and costs has a negative influence on profitability . In addition , the relative significance of each influence is represented by a weight . We develop Binary WeFA which is a variant of WeFA where the factors in the graph are restricted to being either true or false . Imposing this restriction on a WeFA graph allows us to be more precise about the meaning of the graph and of reasoning in it . Binary WeFA is a new proposal that provides a formal yet sufficiently simple language for logic-based argumentation for use by business people in decision-support and knowledge management . Whilst Binary WeFA is expressively simpler than other logic-based argumentation formalisms , it does incorporate a novel formalization of the notion of significance
doc_bio_tags: O O B I I B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O B O O O O O O O B O O O O O O O B O O O O O O B O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O B O O O B I O O O O O O O O O O O O O O O O O O O O O O O B I O O B I O O O O O O O O O O O O O O O O O O O B
extractive_keyphrases: weighted factors analysis significance wefa graph directed arc profitability organization binary wefa reasoning knowledge management directed weighted graph
abstractive_keyphrases: knowledge elicitation knowledge representation knowledge manipulation logic-based argumentation decision-support