[HTML][HTML] From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of …
Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …
from numerous sources. Due to the power in felicitous decision making based on diverse …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information
Two-sided matching decision making (TSMDM) problems exist widely in human being's
daily life. For practical TSMDM problems, matching objects with different culture and …
daily life. For practical TSMDM problems, matching objects with different culture and …
Multiobjective optimization-based decision support for building digital twin maturity measurement
The digital twin (DT) represents a powerful tool for advancing construction industry to
provide a cyber–physical integration that enables real-time monitoring of assets and …
provide a cyber–physical integration that enables real-time monitoring of assets and …
Multi-level fine-scaled sentiment sensing with ambivalence handling
Social media represent a rich source of information, such as critiques, feedback, and other
opinions posted online by Internet users. Such information is typically a good reflection of …
opinions posted online by Internet users. Such information is typically a good reflection of …
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis
C Song, XK Wang, P Cheng, J Wang, L Li - Knowledge-Based Systems, 2020 - Elsevier
Short text sentiment analysis is challenging because short texts are limited in length and
lack context. Short texts are usually rather ambiguous because of polysemy and the typos …
lack context. Short texts are usually rather ambiguous because of polysemy and the typos …
Consensus reaching based on social influence evolution in group decision making
A key issue in social network group decision making (SNGDM) is to determine the weights
(ie, social influences) of individuals. Notably, in some SNGDM scenarios, the social …
(ie, social influences) of individuals. Notably, in some SNGDM scenarios, the social …
Pesticide decontamination using UV/ferrous-activated persulfate with the aid neuro-fuzzy modeling: a case study of Malathion
Y Vasseghian, M Moradi, M Pirsaheb, A Khataee… - Food Research …, 2020 - Elsevier
In the current study, the Malathion decontamination by the aid of the UV/ferrous-activated
persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous …
persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous …
Ranking range based approach to MADM under incomplete context and its application in venture investment evaluation
Abstract In real-world Multiple Attribute Decision Making (MADM) problem, the attribute
weights information may be unknown or partially known. Several approaches have been …
weights information may be unknown or partially known. Several approaches have been …
Opinion mining on social media data: sentiment analysis of user preferences
Any brand's presence on social networks has a significant impact on emotional reactions of
its users to different types of posts on social media (SM). If a company understands the …
its users to different types of posts on social media (SM). If a company understands the …