Axiomatic Results for Weighted Allocation Rules under Multiattribute Situations

In many interactive environments, operators may have to deal with different work objectives at the same time. a realistic context, such as differences in target type be addressed, or changes behavior of other operators, therefore cope by adopting levels (strategies) any given On hand, importance influence brought vary depending on subjective and objective factors, size constituency represented congressman, bargaining power business personnel which vary. Therefore, it is reasonable that weights are apportioned arbitrary usability should distributed according these under various working multiattribute situations. pre-existing results for allocation rules, might always “operators” “levels” modify among its respectively. By applying simultaneously, we adopt maximal marginal variations level (strategy) vectors propose an rule Furthermore, introduce some axiomatic outcomes display rationality this weighted rule. replacing variations, generalized index also introduced.