Minimizing sums and products of linear fractional functions over a polytope. Naval Research Logistics 46, 583-596.H. Konno, H. Yamashita, Minimizing sums and products of linear fractional functions over a polytope, Naval Research Logistics 46 (1999) 583-596....
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Chen''s maximizing set and minimizing set is then applied to defuzzify all the final fuzzy numbers for ranking alternatives. Formulas for the membership functions and ranking procedure of the final fuzzy numbers are clearly presented. The suggested method provides an extension to the fuzzy MCDM ...
Maximizing Insights, Minimizing Animal Testing: A Framework for Validating Multiparametric Single‐Cell Cytokine Analysis Panels doi:10.1002/eji.202451193Intracellular cytokine labeling combined with high‐parametric flow cytometry offers substantial promise in elucidating the nuanced effector functio...
在极小化问题中,一个函数的初始指定通常是一个表,或一个完满析取范式(见B.诵e函数的范式(B 001-ean funCtions,normal formof)),或任何一个析取范式第一步在于转化成所谓的简约析取范式,这对每个函数都是唯一确定的.实现这个转化有许多方法可采用.最普遍的方法是在析取范式中作形式如下 的变换: AvA.B.A(...
In this paper, we present the problem of minimizing the sum of p linear fractional functions over the cone of symmetric positive semidefinite matrices with m linear constraints, denoted by (FSDP). We show that the recent maximizing the sum of two generalized Rayleigh quotients (RQ) and the tot...
Maximizing profits and minimizing costs has been the key of every organization, and achieving this goal can be aided by the implementation of teams. Teamwork is everywhere. The number of organizations using teamwork is increasing. The team phenomenon has heightened our need to better understand what...
In the information bottleneck method, the goal is to compress the input data X to get some compact representation T of the data, while maximizing the amount of information about the relevant output Y. This problem can be formalized as: maxp(t|x)I(T;Y)−βI(T;X) (1) where I(T...
hyperparameter for how well information propagates, and k is the number of seeds chosen. Naïve Myopic is a simple variation on the myopic strategy, Gonzalez refers to the strategy of picking seeds far apart from each other, and TIM+ is a popular algorithm for maximizing ...
several risk functions, including the in-sample risk, the out-sample risk, and the predicted risk. Moreover, Pafka et al. [10] investigated the relationship between the number of investment periods and the value of assets, as well as various investment risks such as the predicted risk and ...