Relative importance of risk factors for spruce beetle outbreaks

1994 ◽  
Vol 24 (10) ◽  
pp. 2089-2095 ◽  
Author(s):  
K.M. Reynolds ◽  
E.H. Holsten

Nine factors were initially suggested by spruce beetle (Dendroctonusrufipennis (Kby.)) experts in Alaska as potentially important in determining the risk of a spruce beetle outbreak in stands. Factors suggested were stand hazard, size and trend of spruce beetle population in neighboring stands, degree–days in the past June, total rainfall in the past summer, and availability of four types of breeding material. Risk factors were organized into a hierarchical model of spruce beetle risk, and the relative importance of factors for determining risk was analyzed in three stages with the analytic hierarchy process. This process derives subjective estimates of factor importance values through a process of pair-wise comparisons. Analysis in stage 1 involved independent responses of two experts from Alaska. In stage 2, three experts from Alaska provided responses as a group. In stage 3, five experts, representing Alaska, British Columbia, and the Rocky Mountain region, provided responses as a group. In the final stage of analysis, stand hazard and windthrown trees were identified as the two most important factors determining risk of a spruce beetle outbreak. Hazard and windthrow were considered about equally important and together accounted for almost two-thirds of the total allocation of importance values among risk factors. The analytic hierarchy process is an effective method for eliciting expert knowledge and can be a useful tool for development of expert systems in natural resource management, where even expert knowledge is often incomplete.

Author(s):  
Rozann W. Saaty

This year the International Symposium on the Analytic Hierarchy Process (ISAHP2018) was dedicated to the memory of Thomas Saaty, the father of the Analytic Hierarchy Process, and my husband of 52 years, who passed away on August 17, 2017, at the age of 91 The conference chair was Luis Vargas, Tom’s longtime colleague at the University of Pittsburgh's Joseph M. Katz Graduate School of Business where he held the chair of Distinguished University Professor. Their names are linked on many AHP articles and books that they co-authored during the past 40 years.


Author(s):  
Leandro Pecchia ◽  
Peter A. Bath ◽  
Neil Pendleton ◽  
Marcelo Bracale

<p>Falls occur frequently among older people and represent the most common cause of injury-related morbidity and mortality in later life. Preventing falls is an important way to reduce injuries, hospitalizations, and injury-related morbidity and mortality among older people. The research literature has identified hundreds of risk factors for falls among elderly people. Prioritizing risk factors for falls is useful for designing effective and efficacious prevention programs. The aim of this study was to use the Analytic Hierarchy Process to develop a hierarchy of risk factors for falls based on the knowledge and experience of experts working in this field. We designed and developed a web portal for participants to submit responses to electronic questionnaires in order to reach the highest number of respondents quickly and to reduce errors in responding. We contacted the person responsible for the Falls sections of four scientific societies. Finally, we propose a correction method to modify respondents’ relative importance on based on the coherence of their responses, in order not to exclude experts who had submitted the questionnaire twice.</p><p>http://dx.doi.org/10.13033/ijahp.v2i2.61</p>


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6600
Author(s):  
Tiantian Zhang ◽  
Ken’ichi Matsumoto ◽  
Kei Nakagawa

Within China’s renewable energy industry, the importance of the solar photovoltaic industry has been increasingly recognized. Many Chinese provinces have adopted various measures to develop the solar photovoltaic industry. This study used the diamond model and the analytic hierarchy process to clarify the relative importance of the determinants of the development of the solar photovoltaic industry. A total of 22 determinants in six categories (i.e., factor condition; demand condition; firm strategy, structure, and rivalry; related and support industries; government; and chance) were analyzed. The results show that besides factor condition, demand condition and firm strategy, structure, and rivalry have also had a strong influence on the development of China’s photovoltaic industry. The findings also indicate that some traditional factors, such as labor costs and acquiring land, are very important to the development of the solar photovoltaic industry. The relative importance of the determinants clarified through this study provides a standard for the actions of policymakers and decision makers.


2021 ◽  
Vol 5 (3) ◽  
pp. 790
Author(s):  
Romindo Romindo

The number of stock investors has increased from the past to the present. Likewise, the number of companies listed on the Indonesia Stock Exchange (IDX). What makes investors confused about choosing the best stock from the hundreds of stocks that are regulated on the IDX. The method used for the best stock is the Analytic Hierarchy Process (AHP) method. Investors will enter criteria that take into account the specified criteria and criteria. The criteria used to determine stocks are C1 = PER, C2 = PBV, C3 = DER, C4 = ROE and C5 = ROA. The results of research conducted in the second rank show that alternative A1 = CPIN is in the first rank with a Priority Vector of 0.6536, alternative A2 = JFPA is in the second rank with a Priority Vector of 0.2013 and alternative A3 = UTAMA is in the second rank. second rank. second rank. second rank. ranked third with a Priority Vector of 0.1452.


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