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Now showing items 11-20 of 22
PLM maturity evaluation and prediction based on a maturity assessment and fuzzy sets theory
(
Springer New York LLC
, 2014 , Article)
Companies adopt PLM maturity models to evaluate PLM implementation and recognize relative positions in PLM selection to better harness PLM benefits. However, the majority traditional PLM maturity models are relative ...
A Fitted Fuzzy-rough Method for Missing Data Imputation
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ...
Deriving consistent pairwise comparison matrices in decision making methodologies based on linear programming method
(
IOS Press
, 2014 , Article)
Pairwise comparison matrix (PCM) with crisp or fuzzy elements should satisfy consistency requirements when it is used in analytic hierarchy process (AHP) or in fuzzy AHP methodologies. An algorithm has been presented to ...
Investigating low-delay deep learning-based cultural image reconstruction
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ...
The research on detection of crop diseases ranking based on transfer learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which ...
Stacking-based multi-objective ensemble framework for prediction of hypertension
(
Elsevier
, 2023 , Article)
Hypertension is a common health problem that is costly to treat, difficult to control, and frequently results in serious and fatal disorders like cardiovascular disease (CVD) and stroke. The main objective of this work was ...
Digital heritage enrichment through artificial intelligence and semanticweb technologies
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ...
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data
(
Elsevier
, 2023 , Article)
As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ...
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
(
IEEE Computer Society
, 2019 , Article)
The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...