2 research outputs found
Mutual Conversion Between Preference Maps And Cook-Seiford Vectors
In group decision making, the preference map and Cook-Seiford vector are two
concepts as ways of describing ties-permitted ordinal rankings. This paper
shows that they are equivalent for representing ties-permitted ordinal
rankings. Transformation formulas from one to the other are given and the
inherent consistency of the mutual conversion is discussed. The proposed
methods are illustrated by some examples. Some possible future applications of
the proposed formulas are also pointed out.Comment: 7 pages, 1 figure, 1 table, 1 theorem, some formula
Measuring Knowledge for Recognition and Knowledge Entropy
People employ their knowledge to recognize things. This paper is concerned
with how to measure people's knowledge for recognition and how it changes. The
discussion is based on three assumptions. Firstly, we construct two evolution
process equations, of which one is for uncertainty and knowledge, and the other
for uncertainty and ignorance. Secondly, by solving the equations, formulas for
measuring the levels of knowledge and the levels of ignorance are obtained in
two particular cases. Thirdly, a new concept of knowledge entropy is
introduced. Its similarity with Boltzmann's entropy and its difference with
Shannon's Entropy are examined. Finally, it is pointed out that the obtained
formulas of knowledge and knowledge entropy reflect two fundamental principles:
(1) The knowledge level of a group is not necessarily a simple sum of the
individuals' knowledge levels; and (2) An individual's knowledge entropy never
increases if the individual's thirst for knowledge never decreases.Comment: Measuring knowledge for recognition and knowledge entrop