Assessing Mobile and Smart Technology Applications for Active and Healthy Aging using a Fuzzy Collaborative Intelligence Approach

2021 ◽  
Author(s):  
Min-Chi Chiu ◽  
Toly Chen
Keyword(s):  
Healthy Aging ◽  
Smart Technology ◽  
Technology Applications ◽  
Collaborative Intelligence ◽  
Intelligence Approach

scholarly journals Evaluating the Suitability of a Smart Technology Application for Fall Detection Using a Fuzzy Collaborative Intelligence Approach

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1097 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Yu-Cheng Wang ◽  
Tin-Chih Toly Chen ◽  
Hai-Fen Lin
Keyword(s):  
Fall Detection ◽  
Decision Makers ◽  
Smart Technology ◽  
Technology Application ◽  
Technology Applications ◽  
Order Preference ◽  
Collaborative Intelligence ◽  
Fuzzy Weights ◽  
Intelligence Approach ◽  
The Ideal

Fall detection is a critical task in an aging society. To fulfill this task, smart technology applications have great potential. However, it is not easy to choose a suitable smart technology application for fall detection. To address this issue, a fuzzy collaborative intelligence approach is proposed in this study. In the fuzzy collaborative intelligence approach, alpha-cut operations are applied to derive the fuzzy weights of criteria for each decision maker. Then, fuzzy intersection is applied to aggregate the fuzzy weights derived by all decision makers. Subsequently, the fuzzy technique for order preference by similarity to the ideal solution is applied to assess the suitability of a smart technology application for fall detection. The fuzzy collaborative intelligence approach is a posterior-aggregation method that guarantees a consensus exists among decision makers. After applying the fuzzy collaborative intelligence approach to assess the suitabilities of four existing smart technology applications for fall detection, the most and least suitable smart technology applications were smart carpet and smart cane, respectively. In addition, the ranking result using the proposed methodology was somewhat different from those using three existing methods.

Customer Experience in the Restaurant Industry

2020 ◽  
pp. 254-272
Author(s):  
Ilhami Tuncer
Keyword(s):  
Artificial Intelligence ◽  
Customer Experience ◽  
World Market ◽  
Restaurant Industry ◽  
Qr Code ◽  
Smart Technology ◽  
Technology Applications ◽  
The Subject ◽  
Smart Technologies

One of the most important points of consideration that will ensure the sustainability and profitability of businesses in the digitized world market is the experience offered to customers. Experience in business preferences, especially of the digitized customers, is quite specific. This chapter discussed the contribution of smart technologies to customer experience for restaurants, and emphasized its significance. Moreover, the subjects of artificial intelligence, smart technology, and QR code were addressed based on customer experience. The contribution offered to customers was emphasized by giving examples of smart technology applications used in restaurant businesses to improve customer experience. The chapter will contribute theoretically to the subject which has not been adequately studied in the literature.

scholarly journals The Role of Smart Technology in Sustainable Agriculture: A Case Study of Wangree Plant Factory

2020 ◽  
Vol 12 (11) ◽  
pp. 4640 ◽  
Author(s):  
Salinee Santiteerakul ◽  
Apichat Sopadang ◽  
Korrakot Yaibuathet Tippayawong ◽  
Krisana Tamvimol
Keyword(s):  
Sustainable Agriculture ◽  
Technology Implementation ◽  
Smart Technology ◽  
Study Approach ◽  
Agriculture Sector ◽  
Plant Factory ◽  
Technology Applications ◽  
Low Input Agriculture

Sustainable development is of growing importance to the agriculture sector because the current lacking utilization of resources and energy usage, together with the pollution generated from toxic chemicals, cannot continue at present rates. Sustainability in agriculture can be achieved through using less (or no) poisonous chemicals, saving natural resources, and reducing greenhouse gas emissions. Technology applications could help farmers to use proper data in decision-making, which leads to low-input agriculture. This work focuses on the role of smart technology implementation in sustainable agriculture. The effects of smart technology implementation are analyzed by using a case study approach. The results show that the plant factory using intelligence technology enhances sustainability performance by increasing production productivity, product quality, crop per year, resource use efficiency, and food safety, as well as improving employees’ quality of life.

scholarly journals Assessing and Comparing COVID-19 Intervention Strategies Using a Varying Partial Consensus Fuzzy Collaborative Intelligence Approach

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1725
Author(s):  
Hsin-Chieh Wu ◽  
Yu-Cheng Wang ◽  
Tin-Chih Toly Chen
Keyword(s):  
Intervention Strategy ◽  
Critical Factor ◽  
Cost Effective ◽  
Intervention Strategies ◽  
Decision Makers ◽  
City Governments ◽  
Assessment Approach ◽  
Collaborative Intelligence ◽  
Partial Consensus ◽  
Intelligence Approach

The COVID-19 pandemic has severely impacted our daily lives. For tackling the COVID-19 pandemic, various intervention strategies have been adopted by country (or city) governments around the world. However, whether an intervention strategy will be successful, acceptable, and cost-effective or not is still questionable. To address this issue, a varying partial consensus fuzzy collaborative intelligence approach is proposed in this study to assess an intervention strategy. In the varying partial consensus fuzzy collaborative intelligence approach, multiple decision makers express their judgments on the relative priorities of factors critical to an intervention strategy. If decision makers lack an overall consensus, the layered partial consensus approach is applied to aggregate their judgments for each critical factor. The number of decision makers that reach a partial consensus varies from a critical factor to another. Subsequently, the generalized fuzzy weighted assessment approach is proposed to evaluate the overall performance of an intervention strategy for tackling the COVID-19 pandemic. The proposed methodology has been applied to compare 15 existing intervention strategies for tackling the COVID-19 pandemic.

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