Preface. Acknowledgements. 1 The Delphi Technique. 2 Debates, Criticisms and Limitations of the Delphi. 3 Applications of the Delphi in Nursing and Health Research. 4 How to Get Started with the Delphi Technique. 5 Conducting the Research Using the Delphi Technique. 6 Analysing Data from a Delphi and Reporting Results. 7 Reliability and Validity. 8 Ethical Considerations. 10 A Modified Delphi Case Study. 11 e-Delphi Case Study. Annotated Bibliography. References. Index.

The Delphi Technique in Nursing and Health Research: Keeney/The Delphi Technique in Nursing and Health Research

https://ir.nctu.edu.tw:443/bitstream/11536/1291/1/A1996UK50000001.pdf

Aggregation of fuzzy opinions under group decision making

The last 20 years have seen increasing interest in the use of Delphi in a wide range of health‐care applications. However, this use has been accompanied by attempts to codify and define a “true Delphi”. Many authors take a narrow view of the purpose of Delphi and/or advocate a single prescriptive approach to the conduct of a Delphi study. However, as early as 1975, Linstone and Turoff pointed to the danger of attempting to define Delphi as one would immediately encounter a study that violated that definition. Through critical examination of some of the controversies and misunderstandings that surround Delphi, this paper aims to dispel some of the myths and demonstrates the wide scope and potential of this versatile approach.

Delphi: myths and reality.

Due to the funding scale and complexity of lubricant regenerative technology, the selection of recycling technology and policy for waste lubricant oil can be viewed as a multiple-attribute decision process that is normally made by a review committee with experts from academia, industry, and the government. This study aims to provide a systematic approach towards the technology selection, in which two phase procedures are proposed. The first stage utilizes Fuzzy Delphi Method to obtain the critical factors of the regenerative technologies by interviewing the foregoing experts. In the second stage, Fuzzy Analytic Hierarchy Process is applied to find the importance degree of each criterion as the measurable indices of the regenerative technologies. This study considers eight kinds of regenerative technologies which have already been widely used, and establishes a ranking model that provides decision makers to assessing the prior order of regenerative technologies. The empirical study indicates that the ''Proper scale'' is the most important evaluation criterion considered in overall experts. The demonstration of how the prior order of regenerative technologies changes under various domains of experts is addressed as well.

The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection

An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network

The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

This is a basic research paper on color blindness tests using a microcomputer. The graphics display with 4,096 colors and a graphics tablet are connected to our microcomputer. We have developed two formal methods and automatized them.

Automatic dyschromatopsia test

The purpose of the present study is to evaluate the static work load as a model work in Submersible Decompression Chamber (SDC) during a deep sea saturation dive with helium-oxygen gas mixture. Heart rate (HR) and electromyogram (EMG) power spectrum changes were studied during a 7-minute static work, half-rising posture or flexed knee posture in four healthy male subjects. During the static work, EMG of the rectus femoris was recorded with surface electrodes, and changes in the EMG power spectrum were presented in the ratio of a high-frequency to low-frequency band (H/L ratio) after the Fourier transform analysis. The HR decreased at 31 ATA and increased remarkably after the decompression to 1 ATA. HR at post-decompression was higher than pre-compression. The lowering phenomena of EMG presented by H/L ratios during the static work were similarly observed in all three conditions. But the changes of the high and low frequency components were different in the post-decompression condition from the pre-compression and 31 ATA conditions. HR as a parameter of static work load might underestimate the work load at the hyperbaric environment due to hyperbaric bradycardia and overestimate it after decompression by "decompression tachycardia." The EMG lowering phenomenon observed after decompression might not be caused by the same mechanism as seen in the pre-compression and hyperbaric environments. Extreme care must be taken to evaluate the static work load not only at hyperbaric helium-oxygen environments but after decompression from a deep saturation dive.

Evaluation of static work load in a helium-oxygen saturation dive at 31 ATA.

The description of a simple multi-ion monitoring system newly developed for the respiratory mass spectrometer is presented. The system is composed of a selective step-wise scanning supply, a gate assembly which separate the sequential peaks to the respective channels and a timing unit. The central feature of the present system is that the step-wise potential itself and the gate pulses which controls the gate assembly are simultaneously originated from a common six fold ring counter. Each step of the scanning potential is produced by dividing the output of the ring counter by the corresponding series of resisters. The description of the component circuits and the overall performances of the system are presented and discussed with the intention of applying this system to the respiratory works.

Giichi Tomizawa

Papers

The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

Automatic dyschromatopsia test

Evaluation of static work load in a helium-oxygen saturation dive at 31 ATA.

A New Multi-ion Peak Selection System for the Respiratory Mass Spectrometer