scholarly journals Selection of the Best Thermal Massage Treatment for Diabetes by using Fuzzy Analytical Hierarchy Process

2018 ◽  
Vol 2 (1) ◽  
pp. 23-28
Author(s):  
Norpah Mahat ◽  
Syafiah Ahmad
Keyword(s):  
Glucose Level ◽  
Analytical Hierarchy Process ◽  
Treatment Session ◽  
Triangular Fuzzy Number ◽  
Diabetic Patients ◽  
Fuzzy Analytical Hierarchy Process ◽  
Massage Treatment ◽  
Normal Glucose Level ◽  
Number Of Treatment ◽  
Hierarchy Process

Diabetes is a condition in which the human blood glucose (sugar) level is abnormally high due to the lack of insulin produced by the pancreas. As diabetes has been claimed to be a disease that is incurable, researchers have come out with numerous alternati ves in making it curable and one of them is thermal massage treatment. This treatment refers to the application of chiropractic where it focuses on realigning the spine where diabetes is claimed to be related to the misalignment of thoracic 7 (T7). The obj ective of this study is to identify and select the best and most effective thermal massage treatment session(s) required for both T1D and T2D patients of different high glucose level in the blood to be reduced to the normal glucose level by using thermal m assager. This study is conducted for the diabetic patients who receive treatments from Ceragem Healthcare Centre on how to optimise their thermal massage treatments to normalise their glucose level. Fuzzy Analytical Hierarchy Process (AHP) is utilised in t his type of selection problem mainly due to the reliable results produced for the imprecise and uncertain preferences of the users in which able to be expressed as a fuzzy set (triangular fuzzy number). The findings indicated that the most significant crit eria for effective thermal massage is determined by the “number of treatment session (per day)” where the best thermal massage treatment is derived from the normalised fuzzy weight of both criteria and sub - criteria.

Research on Choice of Logistics Mode of B2C Enterprises with FAHP

2014 ◽  
Vol 672-674 ◽  
pp. 2211-2216
Author(s):  
Yang Lv ◽  
Hong Sheng Sun ◽  
Xi Fu Wang
Keyword(s):  
Economic Integration ◽  
Analytical Hierarchy Process ◽  
Economic Globalization ◽  
Fuzzy Analytical Hierarchy Process ◽  
Logistics Services ◽  
Logistics Mode ◽  
The Face ◽  
Hierarchy Process ◽  
The Relationship

Under the background of economic globalization and regional economic integration, B2C enterprises begin to focus on how to handle the relationship between logistics services and E-commerce services in the face of intense competition from other companies. This paper proposes a fuzzy analytical hierarchy process (FAHP) approach to select the logistics mode of B2C electronic commerce companies. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

scholarly journals Respiratory Protection Program Compliance in Iranian Hospitals: Application of Fuzzy Analytical Hierarchy Process

2017 ◽  
Vol 66 (4) ◽  
pp. 173-182 ◽  
Author(s):  
Marzieh Honarbakhsh ◽  
Mehdi Jahangiri ◽  
Haleh Ghaem ◽  
Payam Farhadi
Keyword(s):  
Analytical Hierarchy Process ◽  
Weight Coefficient ◽  
Teaching Hospitals ◽  
Fars Province ◽  
Respiratory Protection ◽  
Fuzzy Analytical Hierarchy Process ◽  
Cross Sectional ◽  
Wide Range ◽  
Fit Testing ◽  
Hierarchy Process

In hospitals, health care workers (HCWs) are exposed to a wide range of respiratory hazards, which requires using respiratory protective equipment and implementing Respiratory Protection Programs (RPPs). The aim of this cross-sectional study was to investigate RPP implementation in 36 teaching hospitals located in the Fars province of Iran. A researcher-developed checklist, including nine components of the RPP standard, was completed by industrial hygienists in the study hospitals. The Fuzzy Analytical Hierarchy Process (FAHP) was used to determine the weight coefficient of RPP components. Finally, a Respiratory Protection Program Index (RPPI) was developed to calculate hospital compliance with RPP. The results showed that RPP were not fully implemented in the studied hospitals, and the highest and lowest RPPI scores were related to training and fit testing, respectively. To promote the implementation of RPP, significant efforts are required for all components, especially fit testing and worker evaluation.

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