It is not possible to model such imprecise situations using traditional MCDM approaches and requires combining these with fuzzy logic and other techniques in a hybrid manner to deal with the qualitative aspects and uncertainty in decision-making process.
In this paper, evidence theory is proposed as an alternative to the classical probability theory to handle the imprecise data situation.
Recently evidence theory, also called Dempster Shafer theory, was proposed to handle limited and imprecise data situations as an alternative to the classical probability theory.
For the case of imprecise probabilities, however, the situation looks bleak.
So it is very natural to deal with uncertainties and imprecise data in various situations.
Fuzzy linguistic theory has been widely used to solve fuzzy phenomenon problems existing in the real world, such as uncertain, imprecise, unspecific and fuzzy situations.
Imprecise ownership records enable situations such as Dole Food to arise (where Wall Street's accounting systems created 33% more valid claims to Dole Food shares than there were Dole Food shares) and proxy voting inaccuracies are inevitable (a prominent Delaware attorney declared that it's not possible to verify the true winner of a proxy contest closer than 55-45%).
The French newspaper Le Monde reported later that Mr. Sarkozy had apologized for his "imprecise" statement on a "complex" situation.
The imprecise probabilist can model the situation as follows: $P(R)=1/3, P(B =P(Y)=[0,2/3]$.
In this context, it is well known that a single sensory system is only capable of supplying partial information and is consequently limited in its ability to interpret complex situations, especially in imprecise and uncertain environments where ambiguities and conflicts among colors are often present.
She doesn't have an argument against the claims Levi, Kaplan, Joyce and others make that there are evidential situations that warrant imprecise attitudes.
