Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data [PDF]
Neutrosophic Sets and SystemsAI systems require transformations of big data critical to processing because the findings are based upon incomplete, inconsistent, and/or biased findings which mean that findings and subsequent achieved expectations will inevitably have limitations ...
Juan Roberto Pereira Salcedo +3 more
doaj
Fitting ST-OWA operators to empirical data
, 2007 The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum.
Gleb Beliakov (13071387) +1 more
core
OWA Operators in Decision Making
, 2007 In 1988 Ronald R. Yager [14] introduced a new aggregation technique based on the ordered weighted averaging (OWA) operators. The goal of this paper is to present a short survey of of OWA operators and illustrate their applicability by a real-life example.
Robert Fullér
core
Risk management of hydrogenation station PPP project based on 3D framework-A case study in China. [PDF]
PLoS One, 2023 Zhao H, Yu G, Cheng X.
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A color extraction algorithm by segmentation. [PDF]
Sci Rep, 2023 Wu Q +6 more
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An intelligent decision model for optimizing industrial power consumption using q-fraction fuzzy information. [PDF]
Sci RepAhmed M, Ashraf S, Saqib M, Tulu A.
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A scenario-based framework for spatial assessment of multi-source renewable energy parks: a case study of Makran region in Iran. [PDF]
Sci RepSazvar Z +3 more
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The adaptive functional piecewise ordered weighted averaging method and its application to pollutant concentration analysis. [PDF]
PLoS OneLi Y, Hu X, Tian M.
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Consensus models with aggregation operators for minimum quadratic cost in group decision making. [PDF]
Appl Intell (Dordr), 2023 Zhang R +3 more
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