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An Advanced Operation Mode with Product-Service System Using Lifecycle Big Data and Deep Learning

Shan Ren, Yingfeng Zhang, Tomohiko Sakao, Yang Liu, Ruilong Cai
2021 International Journal of Precision Engineering and Manufacturing - Green Technology  
AbstractAs a successful business strategy for enhancing environmental sustainability and decreasing the natural resource consumption of societies, the product-service system (PSS) has raised significant  ...  To address this challenge, a new operation mode and procedural approach are proposed for operation and maintenance of bigger cluster products, when these products are provided as a part of PSS and under  ...  Section 4 presents a procedural approach for fault diagnosis involving BDA based on the proposed operation mode.  ... 
doi:10.1007/s40684-021-00354-3 fatcat:of6sq7k2ybgfphe53qbvzvjfry

Service Satisfaction Evaluation of Customer Preference-Driven Public Warehousing Product Service Systems for Small-and Medium-Sized Enterprises in an Industrial Park

Kai Ding, Jingjing Li, Fuqiang Zhang, Jizhuang Hui, Qingtao Liu
2019 IEEE Access  
In the context of service-oriented manufacturing (SOM), these non-core businesses are expected to be undertaken by third-party service providers in a centralized product + service manner.  ...  Second, according to whether an SSE index is profitoriented or cost-oriented, a positive or negative distance is obtained based on a distance average solution method.  ...  Product-service system (PSS), as a key component of SOM, is defined as a new business model that integrates products with certain services to generate comprehensive product-service solutions for customers  ... 
doi:10.1109/access.2019.2924190 fatcat:dh2vrls76ba67ntiikf5z4j3si

Fuzzy based Summarization of Product Reviewsfor Better Analysis

G. Anuradha, D. Joel Varma
2016 Indian Journal of Science and Technology  
Findings: This paper implements the opinion mining based on fuzzy logic to improve classification of reviews for generating the concise summary about the product.  ...  Application/Improvements: This is a Feature based sentiment classification which is a multistep process which involves pre-processing phase, fuzzy score to classify each review, training the Naive bayes  ...  It was a direct extraction from various websites, which provide the user reviews for the product/service. Over 400 reviews are collected which includes reviews about Hotel services and Mobile.  ... 
doi:10.17485/ijst/2016/v9i31/98481 fatcat:wymbeq5cljegpjbvkw6d45rhcq

Dynamic Optimization for IPS2 Resource Allocation Based on Improved Fuzzy Multiple Linear Regression

Maokuan Zheng, Xinguo Ming, Guoming Li
2017 Mathematical Problems in Engineering  
The study mainly focuses on resource allocation optimization for industrial product-service systems (IPS2).  ...  An approach based on fuzzy multiple linear regression (FMLR) is developed, which integrates the strength and concision of multiple linear regression in data fitting and factor analysis and the merit of  ...  Acknowledgments The authors would like to thank Shanghai Institute of Producer Service Development (SIPSD) and Shanghai Research Centre for Industrial Informatics (SRCI 2 ) for the funding support to this  ... 
doi:10.1155/2017/2839125 fatcat:4yyj2jkenjdzlljeionfq3rgya

Linking Social Media with Open Innovation: An Intelligent Model

Shuliang Li, Jim Zheng Li
2014 2014 7th International Conference on Intelligent Computation Technology and Automation  
In order to deal with the various facets or properties of the open innovation problem, we recommend and present a new paradigm and framework for integrating the strengths or advantages of intelligent software  ...  A hybrid intelligent model for linking social media with open innovation strategies, processes and diffusion is proposed and discussed in this paper.  ...  Further work is being undertaken to test relevant research hypotheses, and evaluate the overall value and usefulness of the proposed hybrid model in the computer hardware, software, and mobile phone industries  ... 
doi:10.1109/icicta.2014.87 fatcat:k2xyfd4zcvcfjkt3327bnoo5sa

Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
(such as e-business) and application platforms (such as mobile-based platforms).  ...  Various recommender system techniques have been proposed since the mid-1990s, and many sorts of recommender system software have been developed recently for a variety of applications.  ...  [9] used fuzzy set techniques to deal with linguistic ratings and calculate the fuzzy CF similarities, to provide a solution for handling uncertainty in a telecom product/service recommendation process  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4

Outlier Detection in Location Based Systems By Using Fuzzy Clustering

Basar Oztaysi, Sezi Cevik Onar, Cengiz Kahraman
2019 Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)  
In this paper we propose a novel approach to outlier detection in LBS data by using fuzzy c-means algorithm  ...  In general, demographics of customers, monetary value of customer transactions, types of product/service customers use are the sources of segmentation process.  ...  PCA) based approached, and Gustafson-Kessel clustering.  ... 
doi:10.2991/eusflat-19.2019.91 dblp:conf/eusflat/OztaysiOK19 fatcat:2trclj3p5ncclgbqp24irpezx4

Towards business model and technical platform for the service oriented context-aware mobile virtual communities

Pravin Pawar, Julien Subercaze, Pierre Maret, Bert-Jan van Beijnum, Dimitri Konstantas
2008 2008 IEEE Symposium on Computers and Communications  
of a technical platform for the content producer and consumer mobile devices.  ...  As a step towards this direction, in this paper we propose a business model for the mobile virtual communities in which the mobile device takes on the role of a content producer and content consumer.  ...  ; 2) The community platform uses the context information of the community members to recommend them relevant sub-communities, products, services and community support content; 3) SOA based approach for  ... 
doi:10.1109/iscc.2008.4625656 dblp:conf/iscc/PawarSMBK08 fatcat:yz4wwlbn3bebjjc2tdaabid22e

Research on a Personalized Recommendation Algorithm

Min Yang, Yong Ma, Junlan Nie
2017 International Journal of Grid and Distributed Computing  
This paper studied the main personalized recommendation technology for current E-commerce. It proposed a hybrid recommendation algorithm based on opinion mining.  ...  Recommendation system is a new technology to recommend products for customers from huge amounts of products, which infers those objective users' preferences based on their personal information or online  ...  Object is the product, service, subject, individual and organization of a broad sense.  ... 
doi:10.14257/ijgdc.2017.10.1.12 fatcat:yhcu4rb4xfcs7jabeah4rm6k6a

Language Identification for Multilingual Sentiment Examination

2019 International journal of recent technology and engineering  
Identifying sentiments or opinions of users is valuable for many e-commerce companies, Hotels, e-learning etc. This opinion analysis is useful for companies to improve their service and products.  ...  Because of development of social media platform, people can post comment in any language, creates the need for Multilingual sentiment analysis.  ...  Opinion of users of product, service etc. value for the companies, as they can analyse what people think about their product, service etc. and target improvements.  ... 
doi:10.35940/ijrte.b1444.0982s1119 fatcat:nfnyhsf2y5hcxg6fgjb4lt4554

Gamification: Explaining Brand Loyalty in Mobile Applications

Jens Mattke, University of Bamberg, Christian Maier, University of Bamberg
2021 AIS Transactions on Human-Computer Interaction  
To provide empirical evidence for this proposal, we obtained quantitative data from surveying 243 users on the mobile application Duolingo and conducted a fuzzy-set qualitative comparative analysis (fsQCA  ...  Gamification is one specific way to increase mobile app users' brand loyalty.  ...  Adam, and the two anonymous reviewers for their feedback and guidance.  ... 
doi:10.17705/1thci.00142 fatcat:jx7sh7gmdfgbvihxkhxd6xyyn4

Online Similarity Learning with Feedback for Invoice Line Item Matching [article]

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomas Horvath
2020 arXiv   pre-print
In a typical P2P process, agents are asked to manually select the products which are similar before invoices are posted for payment.  ...  The procure to pay process (P2P) in large enterprises is a back-end business process which deals with the procurement of products and services for enterprise operations.  ...  refer to the same or similar products/services.  ... 
arXiv:2001.00288v2 fatcat:cbhjjk2sevbtraxbyeuo4jl6tu

Business Intelligence Through Personalised Location-Aware Service Delivery [chapter]

Tanko Ishaya
2012 Advances in Customer Relationship Management  
products, services, location and the tracked user.  ...  The system would use data mined from the users' profiles and preferences to provide personalised location aware product/service recommendations based on current locations of a user.  ... 
doi:10.5772/32800 fatcat:tmfoxcdy6ngdzhip55euj6wnli

Towards Location-Based Personalized Voice Web Search on SmartphonesTowards Location-Based Personalized Voice Web Search on Smartphones
Towards Location-Based Personalized Voice Web Search on Smartphones

Dae Young Choi
2016 Journal of Computers  
It may be considered as a new explicit personalization method based on the values of attributes for fuzzy term(s) in smartphones.  ...  The proposed method is a further step towards location-based personalized voice Web search (LPVWS) for smartphone users.  ...  A. Zadeh, University of California, Berkeley, for his inspirational address on the perceptual aspects of humans in the BISC seminars and group meetings.  ... 
doi:10.17706/jcp.11.1.62-71 fatcat:wdv6yfjw3vbonlfkykd2odkusa

Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

Vasile MAZILESCU
2010 Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics  
for a long a time (the fuzzy rule or the knowledge model) when it is compared to the second part (the fuzzy facts) for every inference cycle.  ...  There are also presented the features of the elementary pattern matching process that is based on the compiled structure of fuzzy knowledge.  ...  The ECSS purpose proposed for development within the project PR356 is to integrate the multiple sources of knowledge regarding products, services, financial resources, firms and associations in order to  ... 
doaj:977e72cda1a44bbfaed9a104eec4ecfc fatcat:6vkvkdgqi5dhzblees44fw4dcy
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