Non-dominance exists when the co-dominant contrast is non-significant and, hence, the risk effect of heterozygotes lies in the middle of the risk of the two homozygotes.
The first hypothesis states that there is non-dominance, and is tested using the co-dominant contrast.
In 2012, McClymont and Keedwell [28] developed a novel non-dominated sorting method, called deductive sort, by exploiting the properties of Pareto optimality, dominance, and non-dominance, as well as the possible inherent inferences that can be made based on the nature of these relationships.
On the other hand, in Nepal, the 2006 concentration curve dominates that of 2001 as per the 'm.c.a.' approach but shows non-dominance according to the more conservative 'i.u.p.' approach; similar results were found when comparing 2006 and 2001 concentration curves.
In order to tackle the problem, a new contraction method on non-dominance area is proposed to rank solutions.
These properties, as well as properties of non-dominance and fair competition defined for multiple criteria auctions, impose restrictions on the preference relation.
To define the good enough set and the selected set, we introduce two performance indices based on the non-dominance relationship among the designs.
The method fosters axiomatic definition of the optimum solution, arguing that the solution, or the final selected design, should satisfy the non-dominance, efficiency, and fairness.
A straightforward methodology is presented in which the complex poles are replaced with real poles based on the non-dominance property of the complex poles in smooth function approximations.
In particular, when IZ is introduced into the MOCBA framework, we address how to determine the probability of non-dominance, how to define the Pareto set, and how to derive allocation rules for the simulation replications.
Then to derive the ranking order of alternatives from the collective IFPR, we extend quantifier guided non-dominance degree (QGNDD) and quantifier guided dominance degree (QGDD) to intuitionistic fuzzy environment.
