Framework of six linguistic lattice-valued evaluation system

Fuzziness and incomparability are two kinds of uncertainty often associated with human's intelligent activities in the real world, and they exist not only in the processed object itself, but also in the course of the object being dealt with. There are some research work on fuzziness and linguistic variable, and they has been applied with very good results to different problems which include "information retrieval", "clinical diagnosis", "marketing", "risk in software development", "materials selection", "decision-making and evaluation" etc. It is shown that these approaches are adequate in some situations especially for fuzziness attribute. However, it is inadequate to deal with the incomparable information related to human perception and judgment in natural language. So we have to choose an appropriate linguistic descriptions for this kind of incomparable information and give a reasonable semantic explanation for them. In this paper, a linguistic lattice-value evaluation model based on six linguistic truth-value lattice implication algebra is given. It is a new attempt to represent fuzzy and incomparable attribute from the point of linguistic lattice-value logic system.