D.C. Optimization methods for minimum maximal flow problem [PDF]
, 2004 This paper is concerned with the minimum maximal flow problem, i.e., a problem of minimizing the flow value attained by a maximal flow for agiven network.
Yamamoto Yoshitsugu +2 more
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Simulation Research on the Relationship between Selected Inconsistency Indices Used in AHP. [PDF]
Entropy (Basel), 2023 Starczewski T.
europepmc +1 more source
Un modelo de consenso para problemas de toma de decisiones multicriterio en grupo mediante relaciones de preferencia intervalares difusas lingüísticas [PDF]
, 2012 In some circumstances a decision maker, expert, in a group decision making problem cannot express his/her preferences with a unique linguistic fuzzy preference because he/she is dubious into some preferences.
Amor Pulido, Raúl +4 more
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A Class of Methods for Evaluating Multiattribute Utilities [PDF]
A state, for instance a health state, is characterized by a number of attributes to each of which a level is assigned. A specific collection of numerical values, for instance utilities, for all possible states is called a situation.
Peters,Hans, Zank,H.
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Interval-Valued Intuitionistic Fuzzy Soft Rough Approximation Operators and Their Applications in Decision Making Problem. [PDF]
Ann Data Sci, 2022 Mukherjee A, Mukherjee A.
europepmc +1 more source
Relative performance of SRI equity funds: An analysis of European funds using Data Envelopment Analysis [PDF]
The main aims of this contribution are first to analyse the ethical level of European socially responsible investment (SRI) funds, secondly to measure the overall performance of the European SRI mutual funds with an appropriate data envelopment analysis (
Antonella Basso, Stefania Funari
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Intelligent inventory management with autonomation and service strategy. [PDF]
J Intell Manuf, 2022 Dey BK, Seok H.
europepmc +1 more source
Input, Output and Graph Technical Efficiency Measures on Non-Convex FDH Models with Various Scaling Laws: An Integrated Approach Based upon Implicit Enumeration Algorithms [PDF]
In a recent article, Briec, Kerstens and Vanden Eeckaut (2004) develop a series of nonparametric, deterministic non-convex technologies integrating traditional returns to scale assumptions into the non-convex FDH model. They show, among other things, how
Kristiaan Kerstens, Walter Briec
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A Control-variable Regression Monte Carlo Technique for Short-term Electricity Generation Planning
, 2015 In the day-to-day operation of a power system, the system operator repeatedly solves short-term generation planning problems. When formulating these problems the operators have to weigh the risk of costly failures against increased production costs.
Perninge, Magnus
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