The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper proposes two new approaches for the assessment of the weights to be associated with fuzzy opini...The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper proposes two new approaches for the assessment of the weights to be associated with fuzzy opinions. These approaches involve,respectively,the minimization of the sum of squared differences between the individual weighted fuzzy opinion and the weighted mean value of all fuzzy opinions,which is called the weighted minimum variance method (WMVM),and the minimax difference of any two adjacent individual weighted fuzzy opinions,which is called the mean value minimax differences method (MVMDM). The two approaches are developed and numerical examples are presented to illustrate their simplicity and effectiveness in aggregating fuzzy opinions.展开更多
In the last twenty years, in the United States and other Western countries, dry needling （DN） became a hot and debatable topic, not only in academic but also in legal fields. This White Paper is to provide the autho...In the last twenty years, in the United States and other Western countries, dry needling （DN） became a hot and debatable topic, not only in academic but also in legal fields. This White Paper is to provide the authoritative information of DN versus acupuncture to academic scholars, healthcare professional administrators, lawmakers, and the general public through providing the authoritative evidence and experts＇ opinions regarding critical issues of DN versus acupuncture, and then reach consensus. DN is the use of dry needles alone, either solid filiform acupuncture needles or hollow-core hypodermic needles, to insert into the body for the treatment of muscle pain and related myofascial pain syndrome. DN is sometimes also known as intramuscular stimulation, trigger points （TrP） acupuncture, TrP DN, myofascial TrP DN, or biomedical acupuncture. InWestern countries, DN is a form of simplified acupuncture using biomedical language in treating myofascial pain, a contemporary development of a portion of Ashi point acupuncture from Chinese acupuncture. It seeks to redefine acupuncture by reframing its theoretical principles in a Western manner. DN-like needling with filiform needles have been widely used in Chinese acupuncture practice over the past 2,000 years, and with hypodermic needles has been used in China in acupuncture practice for at least 72 years. In Eastern countries, such as China, since late of 1800s or earlier, DN is a common name of acupuncture among acupuncturists and the general public, which has a broader scope of indications, not limited to treating the myofascial pain.展开更多
In this article, a new method for aggregating fuzzy individual opinions into a group consensus opinion is proposed. To obtain the aggregation weights of each individual opinion, a consistency index of each expert with...In this article, a new method for aggregating fuzzy individual opinions into a group consensus opinion is proposed. To obtain the aggregation weights of each individual opinion, a consistency index of each expert with the other experts is introduced based on similarity and distance. The importance of each expert is also taken into consideration in the process of aggregation. Finally, a numerical example is presented to illustrate the efficiency of the procedure.展开更多
文摘The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper proposes two new approaches for the assessment of the weights to be associated with fuzzy opinions. These approaches involve,respectively,the minimization of the sum of squared differences between the individual weighted fuzzy opinion and the weighted mean value of all fuzzy opinions,which is called the weighted minimum variance method (WMVM),and the minimax difference of any two adjacent individual weighted fuzzy opinions,which is called the mean value minimax differences method (MVMDM). The two approaches are developed and numerical examples are presented to illustrate their simplicity and effectiveness in aggregating fuzzy opinions.
文摘In the last twenty years, in the United States and other Western countries, dry needling （DN） became a hot and debatable topic, not only in academic but also in legal fields. This White Paper is to provide the authoritative information of DN versus acupuncture to academic scholars, healthcare professional administrators, lawmakers, and the general public through providing the authoritative evidence and experts＇ opinions regarding critical issues of DN versus acupuncture, and then reach consensus. DN is the use of dry needles alone, either solid filiform acupuncture needles or hollow-core hypodermic needles, to insert into the body for the treatment of muscle pain and related myofascial pain syndrome. DN is sometimes also known as intramuscular stimulation, trigger points （TrP） acupuncture, TrP DN, myofascial TrP DN, or biomedical acupuncture. InWestern countries, DN is a form of simplified acupuncture using biomedical language in treating myofascial pain, a contemporary development of a portion of Ashi point acupuncture from Chinese acupuncture. It seeks to redefine acupuncture by reframing its theoretical principles in a Western manner. DN-like needling with filiform needles have been widely used in Chinese acupuncture practice over the past 2,000 years, and with hypodermic needles has been used in China in acupuncture practice for at least 72 years. In Eastern countries, such as China, since late of 1800s or earlier, DN is a common name of acupuncture among acupuncturists and the general public, which has a broader scope of indications, not limited to treating the myofascial pain.
文摘In this article, a new method for aggregating fuzzy individual opinions into a group consensus opinion is proposed. To obtain the aggregation weights of each individual opinion, a consistency index of each expert with the other experts is introduced based on similarity and distance. The importance of each expert is also taken into consideration in the process of aggregation. Finally, a numerical example is presented to illustrate the efficiency of the procedure.
