Preference

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Preference

Refers to over-the-counter trading. Selection of a dealer to handle a trade despite the dealer's market not being the best available. Often the "preferenced dealer" will then move his market in line.

Preference

The practice of executing trades and other transactions by means other than the open market. For example, if one needs roofing repairs on one's house, one may select one's brother's roofing business even if it is more expensive. In securities, preference often occurs in over-the-counter trades, especially within a brokerage. Preference can, but does not always, lead to economic inefficiency.

preference

The practice of matching customers' buy and sell orders away from the primary exchange. Preferencing is opposed by the New York Stock Exchange because it claims the practice unfairly benefits brokerage firms and doesn't give customer orders the chance to see other customer orders in a public market. Compare in-house trade.
References in periodicals archive ?
Ortt, "Multi-criteria supplier segmentation using a fuzzy preference relations based AHP," European Journal of Operational Research, vol.
Consider seven voters, three of whom express the preference relation x'y > x'y' > xy" > xy, two xy > xy' > x'y' x'y, and two xy' > xy > x'y > x'y'.
DR 3: If - [epsilon] [less than or equal to] [v.sup.k.sub.i] - [w.sup.c.sub.i] [less than or equal to] [epsilon] then [e.sub.k] should not modify his/her the value of preference relation [v.sub.i].
Zhao, "The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity," Expert Systems with Applications, vol.
Therefore, given the preference information of linguistic term vector [ling.sub.k] = ([ling.sup.k.sub.l] ..., [ling.sup.k.sub.n]) from expert [e.sub.k] (k = 1, ..., K), the fuzzy preference relation between [c.sub.j] and [c.sub.r] is obtained as follows:
Assuming that [OMEGA]/ ~ = {[x], x [member of] [OMEGA]} is a quotient set corresponding to the equivalence relation ~, then applying Lemmas 8 and 9, we get that the order relation [less than or equal to] in quotient set [OMEGA]/ ~ which is elicited by the incomplete preference relation [less than or equal to] in [OMEGA] is a partial order.
The goal of the paper is improvement of the method of solving the problem of multicriteria synthesis of robust control multimass electromechanical systems by constructing a Pareto-optimal solutions, and taking into account the binary preference relations of local optimization criteria using multiswarm stochastic multiagent optimization of particle swarm, which reduces the time of determining the parameters of robust controllers multimass electromechanical systems and meet the diverse requirements that apply to the such systems operation in different modes.
First of all, we review fuzzy preference relation (FPR) introduced by Tanino [31].
Similar to Definition 1, the concept of fuzzy preference relation should be defined in the following.
(2) A preference relation is a binary relation on a choice set X that is and negative transitive.
To solve this problem, we propose an algorithm that combines explicit and implicit preference relations, by giving preference to explicit precedence rules.
A fuzzy preference relation on X is a function R: X x X [right arrow] [0,1].