scholarly journals FUZZY MULTICRITERIA EVALUATION OF HEALTH RESEARCH INVESTMENTS

2014 ◽  
Vol 20 (2) ◽  
pp. 210-226 ◽  
Author(s):  
Cengiz Kahraman ◽  
Aslı Süder ◽  
İhsan Kaya
Keyword(s):  
Health Research ◽  
Research Area ◽  
Analytic Hierarchy ◽  
Research Investment ◽  
The Cost ◽  
Research Investments ◽  
Returns On Investment ◽  
Hierarchy Process ◽  
Research Impacts ◽  
Specific Health

Health research and investments are expensive, and its explicit social, health and economic impacts are hard to define. There are many challenges and assumptions in defining specific returns on investment in health research. In the literature, there is no common approach to evaluate health research impacts. Single criterion methods are generally used with validated indicators to track overall outcomes or outcomes in a specific health research area. These methods have the ability of considering only one criterion at a time, which is usually the cost of the investment. A multicriteria method is proposed for taking care of many conflicting criteria of health research investments. The difficulty of measuring intangible criteria is captured by the fuzzy set theory. Fuzzy analytic hierarchy process (AHP) is used for the selection among four possible health research investment alternatives. A sensitivity analysis is made for the changes in the values of various parameters.

scholarly journals Designing a model to determine the preferred Islamic contract for a bank facilities applicant

2018 ◽  
Vol 7 (2.2) ◽  
pp. 21
Author(s):  
Marzieh Jahani ◽  
Parastoo Mohammadi
Keyword(s):  
Evaluation Criteria ◽  
Industrial Sector ◽  
Point Of View ◽  
Second Phase ◽  
Optimization Approach ◽  
Compromise Solution ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
The Cost ◽  
Hierarchy Process

This paper aims to present a model to determine the preferred Islamic contract for the bank facilities applicant in the industrial sector. For this purpose we use a consolidated method which includes the compromise solution multi-criteria optimization in the first phase, and the calculation of the cost of financing for the applicant of facilities in the second phase. Afterwards, by using the output of the both-phase, the preferred Islamic contract based on the combinational criterion has been determined for the applicant of the facilities. According to the fact that in the financing of the projects, in addition to the criteria related to the cost of financing, the qualitative criteria are also important, so both the qualitative and quantitative criteria have been considered in this research. In this study, we used four widely applied Islamic contracts (Jo’aalah Instalment sales, Hire purchase, Participation). The assessment criteria of the Islamic contracts have been extracted in the form of a questionnaire based on the previous studies and the expert’s point of view. In the first phase, the Analytic Hierarchy Process (AHP) has been used in order to determine the weights of the evaluation criteria of the Islamic contracts; and, in order to select an appropriate contract for the applicant, the compromise solution multi-criteria optimization approach (VIKOR), which is based on the decision matrix, was used. In the second phase, the cost of financing from the bank was estimated for the applicant of the facilities in the four contracts. Finally, the obtained results of the qualitative questionnaire and the cost of financing from the bank have been combined; thus, the preferred contract for the applicant of facilities has been determined based on a combinational criterion.

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

Identifying and weighting of dimensions and indicators of individual job performance using fuzzy Delphi and fuzzy analytic hierarchy process techniques

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Milad Abbasi ◽  
Mohammad Reza Monazzam ◽  
Hossein Arabalibeik ◽  
Mansour Shamsipour
Keyword(s):  
Literature Review ◽  
Job Performance ◽  
Research Area ◽  
Theory And Practice ◽  
Counterproductive Work Behaviors ◽  
Adaptive Performance ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Hierarchy Process

PurposeThe purpose of the study was to identify and weight the dimensions and indicators of individual job performance (IJP).Design/methodology/approachTo identify dimensions and their measuring indicators, a literature review was conducted in PubMed, Embase™, ProQest, Scopus®, Web of Science™ and Google Scholar. Based on the results of the literature review and consensus among the research team, dimensions and measuring indicators were identified and an IJP framework was constructed. For weighting dimensions and indicators, fuzzy analytical hierarchy process (FAHP) and fuzzy Delphi technique (FDT) were conducted, respectively.FindingsBased on the results, the conceptual framework showed that IJP consisted of four dimensions as follows: task performance (TP), contextual performance (CP), counterproductive work behaviors (CWBs) and adaptive performance (AP). The results of FAHP showed that TP (0.358) had the highest weighting in measuring IJP. The weight of CWBs, CP and AP was 0.302, 0.244 and 0.096, respectively. The results showed that 102 indicators were identified to measure the dimensions. Using the FDT, 45 indicators were accepted and 57 were rejected. Of the accepted indicators, 12 indicators belonged to TP. In addition, 11, 12 and 10 belonged to CP, CWBs and AP, respectively.Research limitations/implicationsThe results of the article can be useful in research and practice and bridge the gap between theory and practice. In the research area, the researchers can use this model to develop questionnaires for evaluating IJP in all occupations. The researchers can choose the most effective dimensions or indicators in accordance with the corresponding occupation. Moreover, the results can be used in practice (economic and commercial impact), teaching, influencing public policy and helping to establish a more complete knowledge system.Originality/valueIn order to select dimensions and their measuring indicators, the work in the study took the unique approach to employ powerful decision-making methods combined with fuzzy methods to remove any ambiguity in opinions.

Analysis Hierarchy Process in Real Problem Resolution in a Food Company

2014 ◽  
Vol 1033-1034 ◽  
pp. 797-807
Author(s):  
Carla Regina Mazia Rosa ◽  
Maria Teresinha Arns Steiner ◽  
João Carlos Colmenero
Keyword(s):  
Real Problem ◽  
Distribution Centers ◽  
Quality Factors ◽  
Food Sector ◽  
Analytic Hierarchy ◽  
Decision Context ◽  
Problem Resolution ◽  
Definition Of ◽  
The Cost ◽  
Hierarchy Process

One of the most important aspects to be considered by Distribution Centers (DCs) is the improvement of the process in relation to the attributes of the service that is provided. The purpose of this article is to analyze various alternatives for the definition of a DC with the use of a method of multi-criteria support in decision making, more specifically, the Analytic Hierarchy Process (AHP) for the allocation and weighting of importance levels for structuring DCs. To further illustrate the process, a field study was conducted in a multinational company in the food sector. This enabled the identification of the best of three possible structures that were evaluated based on the criteria and sub-criteria targeted in the decision context. The results show that the cost and quality factors are primarily responsible for choosing the most appropriate alternative.

scholarly journals Análisis multicriterio de preferencias sociales en gestión hídrica bajo la Directiva Marco del Agua

2011 ◽  
Vol 8 (2) ◽  
pp. 105 ◽  
Author(s):  
P. Mesa ◽  
J. Martín-Ortega ◽  
J. Berbel
Keyword(s):  
Water Management ◽  
Cost Effectiveness ◽  
Analytic Hierarchy ◽  
Effectiveness Analysis ◽  
Management Measures ◽  
The Cost ◽  
Guadalquivir River ◽  
Hierarchy Process ◽  
Multicriteria Decision Support ◽  
Selection Of

This work aims to contribute to the implementation of the WFD with regard to the selection of the measures for a sustainable and socially accepted water management. A multicriteria decision support exercise is applied to the Guadalquivir River Basin in order to test the applicability of the Analytic Hierarchy Process in the new WFD context. A survey was carried out in the context of a future enlargement of La Breña reservoir (Córdoba). This analysis aims to obtain the public’s weight of the criteria in water management, in order to assess the legitimacy of the reservoir enlargement, as well as other management measures. Results suggest that the AHP is an adequate tool for the WFD purposes and a useful complement for the cost-effectiveness analysis.

scholarly journals IDENTIFYING AND PRIORITIZING THE SELECTION CRITERIA OF APPROPRIATE REPAIR AND MAINTENANCE METHODS FOR COMMERCIAL BUILDINGS

2021 ◽  
Vol 25 (5) ◽  
pp. 413-431
Author(s):  
Jolanta Tamošaitienė ◽  
Hadi Sarvari ◽  
Matteo Cristofaro ◽  
Daniel W. M. Chan
Keyword(s):  
Human Resources ◽  
Selection Criteria ◽  
Facility Management ◽  
Commercial Buildings ◽  
Cycle Period ◽  
Important Criterion ◽  
Analytic Hierarchy ◽  
Technical Capability ◽  
The Cost ◽  
Hierarchy Process

All buildings require Repair and Maintenance (R&M) in their life cycle period. However, if R&M activities are not carried out properly, deterioration will occur, service life of buildings will be reduced, and maintenance costs will increase. Hence, selecting the appropriate R&M methods is pivotal, especially for developing countries, such as Iran, which are featured by highly constrained resources. The present study aims to identify and prioritize the main criteria for selecting the suitable R&M methods for Commercial Buildings (CBs), which is considered as a profound challenge for the Architecture, Engineering and Construction/Facility Management (AEC/FM) industry. A total of 20 senior experts in the AEC/FM industry and CBs in Iran were invited to participate in a Delphi survey to solicit their perceptions and opinions on the selection criteria. The total number of individual criteria identified is 16, which are further divided into five categories: human resources, flexibility and technical capability, risks, cost of maintenance, together with facilities and technology. Then, the Fuzzy Analytic Hierarchy Process (FAHP) technique was applied to prioritize the identified criteria. Among the 5 main selection criteria, the cost of maintenance is the most important criterion for selecting appropriate R&M methods for CBs whereas the criterion of human resources (HR) was recognized as the least important.

Study on Cost Decision Model Based on BIM and AHP

2014 ◽  
Vol 584-586 ◽  
pp. 2205-2208 ◽  
Author(s):  
Jian Wen Cao ◽  
Hao Kai Zheng
Keyword(s):  
Decision Model ◽  
Cost Management ◽  
Secondary Development ◽  
Analytic Hierarchy ◽  
Model Based ◽  
Development Technology ◽  
The Cost ◽  
Cost Plan ◽  
Decision Making Model ◽  
Hierarchy Process

An optimal cost decision is the premise of cost plan and the important way to realize the goal of cost and increase economic efficiency. At the same time, the correctness of the cost decision depends on accurate cost information.This paper builds the cost decision-making model based on the BIM with Revit API secondary development technology and the analytic hierarchy process (AHP), so as to provide methods for the cost decision of construction project and promote the application of BIM in cost management.

FUZZY AHP APPROACH TO THE COMPETENCE OF ENGINEERING MANPOWER OUTSOURCING

2012 ◽  
Vol 20 (04) ◽  
pp. 437-458 ◽  
Author(s):  
WEN-HSIANG LAI
Keyword(s):  
Fuzzy Ahp ◽  
Business Management ◽  
Capital Intensity ◽  
Analytic Hierarchy ◽  
Inference System ◽  
The Past ◽  
The Cost ◽  
Outsourcing Strategies ◽  
Logic Inference ◽  
Hierarchy Process

Outsourcing strategies reveal trends in strategic business administration. Over the past 80 years, outsourcing has become one of the most important concepts in business management and operation. In Taiwan, optoelectronics, semiconductors, and information technology (IT) are the major industries engaging in engineering manpower outsourcing (EMO) due to their capital intensity and their requirements for a large quantity of high-quality engineers. This study analyzes the EMO competence of Taiwan's enterprises using expert interviews, analytic hierarchy process (AHP) analysis, and a fuzzy logic inference system (FLIS). This study shows that EMO competence can be divided into three influential variables: cost, resources, and strategy. The results of this research indicate that the cost variable has the greatest influence on EMO. The results of fuzzy analysis demonstrate that if enterprises intend to improve their EMO, they must consider the combination of the direct cost and talents sub-variables within the resource variable to be more important than the various sub-variable combinations of cost and strategy. Moreover, empirical results also show that the internal operation (IO) sub-variable has a significant impact on the strategy variable and that the internal training (IT) and external alliance (EA) sub-variables have little influence on the strategy variable with respect to EMO.

scholarly journals Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

2021 ◽  
Vol 13 (24) ◽  
pp. 13606
Author(s):  
Wei-Ling Hsu ◽  
Miao Qiao ◽  
Haiying Xu ◽  
Chunmei Zhang ◽  
Hsin-Lung Liu ◽  
...  
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Rapid Development ◽  
Research Area ◽  
Evaluation Framework ◽  
Decision Makers ◽  
Three Dimensions ◽  
Analytic Hierarchy ◽  
New Research ◽  
Hierarchy Process

With the rapid development of smart cities all over the world, the evaluation of the smart city has become a new research hotspot in the academic circles. Nevertheless, there still exist a series of common problems in current smart city evaluation, including the cognitive deprivation, lack of experience in planning, low coordination level, etc. Therefore, it is critical to establish a new hierarchy for smart city evaluation indicators, especially in the 5G era. Based on literature review, expert consensus, and the fuzzy analytic hierarchy process, this study developed an innovative smart city evaluation framework. In the framework, an index comprising three dimensions, i.e., smart economy, smart society, and smart environmental protection, as well as several attributes for these dimensions for smart city evaluation were established. Then, taking Jiangsu Province, the fastest-growing province in China, as the research area, the development level of smart city for the cities in Jiangsu was calculated. The results have verified the effectiveness of the framework, which can provide suggestions for sustainable urbanization, and help urban decision-makers to promote the efficient development of smart cities.

scholarly journals Analisis Kelayakan Pemukiman Menggunakan Metode Analytic Hierarchy Process (AHP) Kecamatan Kuta Baro, Kabupaten Aceh Besar

JURNAL HADRON ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Akmal Muhni
Keyword(s):  
Land Use ◽  
Analytic Hierarchy Process ◽  
Research Area ◽  
Land Resources ◽  
Analytic Hierarchy ◽  
The North ◽  
Aceh Province ◽  
Hierarchy Process ◽  
Area Planning ◽  
Rock Lithology

The use of land resources for settlements is generally determined by the capability of the land or the appropriateness of the land. Residential area planning must consider the risk of a disaster because it will have an impact on material and physical losses. Administratively, the research area is located in the north of Kuta Baro Sub-District, Aceh Besar District, Aceh Province with a research area of about 12 km2. The research location which is close to the Seulawah Agam volcano will cause potential impacts of disasters such as volcanic eruption and landslide. The purpose of analyzing settlement land use using the Analytic Hierarchy Process (AHP) method in this study is to determine and analyze the feasibility of residential land at the research location. The parameters used in the land use analysis consist of 5 parameters including rock lithology, geomorphological conditions, slope, soil type, and rainfall. The results obtained in this study were 3 (three) classes of land use feasibility zones, namely the feasible zone, the less feasible zone, and the unfeasible zone. Analysis of land use suitability based on the feasible zone for settlements in Kuta Baro District with lowland geomorphology (0 - 8% slope level), rock lithology in the form of silt deposits, low rainfall, and alluvium soil types which have a very low level of erosion.

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