Abstract
This paper uses techniques of factor analysis to develop an algorithm for manipulating the issues-criteria matrices found in relevance trees. The new procedure provides a general framework that overcomes specific methodological shortcomings of a widely discussed tree scheme, PATTERN, as well as providing increased internal consistency in any relevance tree format. An example from urban policy decision making demonstrates the algorithm's versatility.
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