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A PLM components monitoring framework for SMEs based on a PLM maturity model and FAHP methodology
(
Mundo Press
, 2014 , Article)
Right PLM components selection and investments increase business advantages. This paper develops a PLM components monitoring framework to assess and guide PLM implementation in small and middle enterprises (SMEs). The ...
A novel approach to assess the products' global environmental impacts by considering pollution transfer phenomena
(
Inderscience Enterprises Ltd.
, 2014 , Article)
As environmental issues become more serious, governments and customers are more sensitive about the environmental impacts which are produced by products. Many methods have been proposed to assess environmental impacts. The ...
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ...
Identifying opinion mining elements based on dependency relations and fuzzy logic
(
CSREA Press
, 2019 , Conference Paper)
Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relations. Although many works are emerged to ...
Customer reviews analysis based on information extraction approaches
(
Springer New York LLC
, 2016 , Conference Paper)
The existing information extraction approaches are generally analyzed and then categorized into several groups based on the superiority and the intelligence of the approaches as well as their capability to solve complex ...
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
(
Elsevier Ltd
, 2016 , Article)
Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relations. Although many works have emerged to ...
Hesitant extension of fuzzy-rough set to address uncertainty in classification
(
IOS Press
, 2018 , Article)
Although fuzzy rough sets have been considered as a powerful theory to handle real-valued data with uncertainty, fuzzy rough sets based algorithms reached their limit of conveying hesitation information in the processes ...
Deep learning and cultural heritage: The CEPROQHA project case study
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly ...
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 ...