In those cases in which this does not occur, Delphi provides a scenario of dialogue, which allows focusing on the best path toward convergence (fuzzy possibility space), dismissing possible arguments located within the ambit of divergence (marginal space that is external to the set).
Uncertainty in such performance is addressed by a fuzzy possibility theory approach.
By using Chen and Hwang (1992) right and left fuzzy ranking method, fuzzy possibility score so obtained is 0.1915.
These methods are still developing and often use fuzzy sets, possibility theory and belief functions.
Moreover, the uncertainty is a well-studied concept in many mathematical settings, such as those of probability theory, fuzzy set theory, and possibility theory.
It is shown that under mild conditions – usually met in interpretable fuzzy modeling – possibility can be used as a valid measure for assessing distinguishability, thus overcoming the computational inefficiencies of similarity measures.
At the same time numerous advancements like inclusion of fuzzy logic, possibility of textural classification, removing biases in simulation and developing a CA-based 2D and 3D land use simulation module are elaborated which are at present showing some promising avenues wherein significant research can be done in future.
Of the existing data fusion methods such as probability theory [17], fuzzy logic [18], possibility theory [19], evidence theory [20], the DS evidence theory [20, 21] is a powerful and flexible mathematical tool for handling uncertain, imprecise, and incomplete information.
"As a result, we remain naïve about the long, essential testing period when our actions transform (or fail to transform) fuzzy, undefined possibilities into concrete choices we can evaluate".
This mechanism is based on the fuzzy set theory and the possibility theory.
When we encounter lack or incompleteness of information, some other theories such as fuzzy set theory (Zimmermann 1991), possibility theory (Dubois and Prade 1988), Dempster-Shafer theory, and upper and lower probabilities (Dempster 1967) are more powerful.
