An In-Depth Look at Information Fusion Rules & the Unification of Fusion
  Theories
  This paper may look like a glossary of the fusion rules and we also introduce
new ones presenting their formulas and examples: Conjunctive, Disjunctive,
Exclusive Disjunctive, Mixed Conjunctive-Disjunctive rules, Conditional rule,
Dempster's, Yager's, Smets' TBM rule, Dubois-Prade's, Dezert-Smarandache
classical and hybrid rules, Murphy's average rule,
Inagaki-Lefevre-Colot-Vannoorenberghe Unified Combination rules [and, as
particular cases: Iganaki's parameterized rule, Weighting Average Operator,
minC (M. Daniel), and newly Proportional Conflict Redistribution rules
(Smarandache-Dezert) among which PCR5 is the most exact way of redistribution
of the conflicting mass to non-empty sets following the path of the conjunctive
rule], Zhang's Center Combination rule, Convolutive x-Averaging, Consensus
Operator (Josang), Cautious Rule (Smets), ?-junctions rules (Smets), etc. and
three new T-norm & T-conorm rules adjusted from fuzzy and neutrosophic sets to
information fusion (Tchamova-Smarandache). Introducing the degree of union and
degree of inclusion with respect to the cardinal of sets not with the fuzzy set
point of view, besides that of intersection, many fusion rules can be improved.
There are corner cases where each rule might have difficulties working or may
not get an expected result.
