scholarly journals REFLECTIONS ON PRIORITIZING DIVERGENT INTANGIBLE HUMANE ACTS

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Jennifer Shang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Complex Relationship ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Versatile Tool ◽  
Hierarchy Process

AHP is a versatile tool for prioritizing and making decisions.  Yet, when facing numerous alternatives with significantly different scale, decision makers often found it impossible to put them together in one matrix and compare them simultaneously. To address the issue, Thomas Saaty and I (2011) proposed a new Analytic Hierarchy Process-based structure to capture the complex relationship between various levels of activities. Without the proposed model, we may not be able to tackle alternatives that are not comparable or it may require a very large number of comparisons, as only comparable items can be compared and used to calculate meaningful priorities. In this paper, we show how to use clustering and pivots to handle this difficulty. Through the proposed method, we expand the comparison scale, build a near-consistent matrix, and allow the use of incomparable alternatives.  The proposed method helps us effectively derive priorities for alternatives with orders-of-magnitude differences like those in divergent intangible humane acts.https://doi.org/10.13033/ijahp.v9i3.536

scholarly journals Correlated Analytic Hierarchy Process

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hsiang-Hsi Liu ◽  
Yeong-Yuh Yeh ◽  
Jih-Jeng Huang
Keyword(s):  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Analytic Network Process ◽  
Correlation Effect ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Common Effect ◽  
Proposed Model ◽  
Network Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been the most popular tool for the field of decision making in the past 30 years, because of its simplicity and rationality. Construct a hierarchy system for evaluation by decision makers. Hence, only the effect of outer-dependence can be considered in the AHP. However, besides outer-dependence, correlation is another common effect between criteria which cannot be accounted for neither by the AHP nor by the analytic network process (ANP). Hence, in this paper, we extend the AHP to consider the correlation effect. In addition, a biobjective programming model is proposed to derive the result. Furthermore, the traditional AHP can be considered as the special case of the proposed model when the correlation effect between criteria is ignored. Finally, a numerical example is given to justify the proposed method and compare the result with the AHP.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

An Endorsement Selection Model for Sports Celebrities in China

2018 ◽  
Vol 10 (2) ◽  
pp. 1-13
Author(s):  
Pi-Fang Hsu ◽  
Chia-Hui Hsu
Keyword(s):  
Analytic Hierarchy Process ◽  
Delphi Method ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Proposed Model ◽  
Target Company ◽  
Sporting Goods ◽  
Hierarchy Process ◽  
Celebrity Endorsers ◽  
Selection Of

Celebrity endorsement is a critical and positive commercial promotional tool. With the increasing number of international sports celebrities, many sporting and non-sporting goods companies use such celebrities to promote their products. This study develops a model for selecting sports celebrity endorsers. A Chinese sporting brand company is the target of this study. The proposed model adopts the modified Delphi method to identify suitable criteria and applies the analytic hierarchy process (AHP) to determine the criteria's relative weights. The selected company exemplifies how the model can guide the selection of sports celebrity endorsers. The model ranks the importance to the target company of five criteria: trustworthiness, match-up, attractiveness, risk and expertise. The proposed model allows the company to select sports celebrity endorsers effectively, and contributes to academia and commerce.

scholarly journals Rekam Jejak Dosen Sebagai Model Pengambilan Keputusan Dalam Pemilihan Dosen Berprestasi

2015 ◽  
Vol 2 (1) ◽  
pp. 65
Author(s):  
Safrizal Safrizal
Keyword(s):  
Analytic Hierarchy Process ◽  
Teaching Method ◽  
Decision Makers ◽  
Social Awareness ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Complex Situation ◽  
Track Record ◽  
Decision Taking ◽  
Hierarchy Process

Sistem pendukung keputusan merupakan sistem informasi komputer yang digunakan oleh para pembuat keputusan untuk mendapatkan hasil keputusan terbaik dari beberapa alternatif keputusan sehingga memberikan hasil akhir yang tepat dan akurat. Salah satu metode pengambilan keputusan dalam situasi yang kompleks adalah dengan menggunakan metode Analytic Hierarchy Process (AHP). Di STMIK Potensi Utama rekam jejak dosen dilakukan setiap semester yang meliputi administrasi dosen, metode proses belajar mengajar, kegiatan dosen, penelitian dan pengabdian masyarakat yang dilaksanakan oleh dosen. Sulitnya menemukan dosen yang mempunyai prestasi pada rekam jejak tersebut, maka penulis melakukan penelitian dalam hal pemanfaatan rekam jejak dosen sebagai keputusan dalam pemilihan dosen berprestasi menggunakan metode AHP. Hasilnya adalah Administrasi Dosen (0.513 atau 51,3%), Metode PBM (0.261 atau 26,1%), Seminar/Kegiatan Dosen (0.063 atau 6,3%), Penelitian (0.129 atau 12,9%), Pengabdian Masyarakat (0.033 atau 3,3%). Kriteria Administrasi Dosen merupakan kriteria terpenting diantara kriteria yang lain. Sedangkan hasil evaluasi rekam jejak dosen yang memiliki bobot prioritas yang paling tinggi dalam pemilihan dosen berprestasi adalah prioritas pertama dimiliki oleh Dosen A dengan bobot 0,349 atau 34,9%, prioritas kedua dimiliki oleh Dosen A dengan nilai bobot 0,0337 atau 33,7% dan Dosen B memiliki perioritas ketiga dengan nilai bobot nilai 0,314 atau 31,4%.Decision support system is an interactive information system used by the decision makers in order to obtain the best decision result among some other alternatives. One of the decision taking methods in complex situation is Analytic Hierarchy Process (AHP). At STMIK POTENSI UTAMA is done regularly every semester including lecture’s administration learning teaching method, lecture’s activities, research and social awareness done comprehensively by lecture’s. However, it is difficult to find the lectures who have full filled those qualification, the written to write about a lecturer track record as model of decision taking in selecting lecturer performance by applying AHP Method. The finding are Lecture’s Administration (0.513 or 51,3%), PBM Method (0.261 or 26,1%), seminary/lecture’s Activities (0.063 or 6,3%), Research (0.129 or 12,9%), and social awareness (0.033 or 3,3%). It implies that lecture’s administration criteria is the most important among others. While the evaluation of lecture’s track recording that have high priority in lectures a with 0,349 or 34,9%, the second priority goes on lectures A with 0,0337 or 33,7% and lectures B is the third priority with 0,314 or 31,4%.

SELECTING THE BEST COMPOSTING TECHNOLOGY USING ANALYTICAL HIERARCHY PROCESS (AHP)

2015 ◽  
Vol 77 (1) ◽  
Author(s):  
Najah Sofia Md Zaini ◽  
Noor Ezlin Ahmad Basri ◽  
Shahrom Md Zain ◽  
Nur Fatin Mat Saad
Keyword(s):  
Waste Management ◽  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Solid Waste Management ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Technical Factor ◽  
Technical Aspects ◽  
Windrow Composting ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) has been used widely to solve multi-criteria selection problem. It is a technique that allows the decision makers to set their priorities and help make the best selection when both tangible and intangible aspects need to be considered. This study uses the AHP to select the best composting technology for the UKM composting centre where the accumulation of organic wastes are generated daily from the cafeteria and landscape activities within the UKM campus. Experts who are familiar and who have some years of experience on solid waste management at UKM were interviewed to do the pair wise comparisons which are structured with four criteria namely environmental, economy, social and technical aspects. These criteria then expanded into a few more sub-criteria. The alternatives for the composting technology are windrow composting and in-vessel composting. The analysis is done using the Super Decisions software. The result shows that technical factor is the most important factor with (0.5000), followed by environmental (0.2517), economy (0.1941) and social (0.0542) factors. The end result shows that windrow composting is the best composting technology according to these four factors with the priority of 0.6236 while composting in—vessel has the priority of 0.3765.

scholarly journals ANALISIS PENENTUAN PRIORITAS PENANGANAN JALAN DI KOTA DENPASAR BERDASARKAN METODE ANALYTIC HIERARCHY PROCESS (AHP) DENGAN KOMBINASI METODE FUZZY ANALYTIC HIERARCHY PROCESS (FAHP) DAN TOPSIS

1970 ◽  
Author(s):  
Dwi Ayu Wira Savitri ◽  
D. M. Priyantha Wedagama ◽  
I G. Putu Suparsa
Keyword(s):  
Analytic Hierarchy Process ◽  
Traffic Volume ◽  
City Government ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
The Road ◽  
Combination Methods ◽  
Directorate General ◽  
Weighted Score ◽  
Hierarchy Process

Abstrac :Road handling priority determination is an important tasks faced by decision makers and is regarded as a complex multi-criteria problem. It requires a system to categorise and ranks the project order using several criteria. Officially, SK. No. 77 of the Directorate General of Highway issued in 1990 is a method used in the local government. This method however, has been considered to have limitations to determine road handling priority. Using previous studies, the Analytic Hierarchy Process (AHP) and the combination of FAHP and TOPSIS methods are considered relevant to determine road handling priority. These methods incorporates a variety of criteria which can also be considered by the decision makers. Using the AHP, the criteria of road conditions, traffic volume, economic and policy factors are 41.8%, 25.4%,  21.6 and 11.2% respectively. Meanwhile, a combination methods of FAHP and TOPSIS give the criteria of road conditions, traffic volume, economic and policy factors of 33.8%, 26.6%, 24.7% and 14.9% respectively. Both AHP and FAHP produce the same result in terms of criteria rank. This is not the case however, in the sub criteria rank. This study found that AHP gives road handling priority differently to the SK. No 77 of Directorate General of Highway (1990). In contrast, a combination methods of FAHP and TOPSIS produces road handling priority in the same way to the SK. No 77 of Directorate General of Highway (1990). Denpasar city government is suggested to consider the use of FAHP and TOPSIS method in determining its road handling priority. This method is considered to have a capability to combine many criteria using a priority weighted score. The road handling priority results therefore, are more realistic.

scholarly journals Computation of Fuzzy Analytic Hierarchy Process (FAHP) Using MATLAB Programming In Sustainable Supply Chain

2018 ◽  
Vol 7 (3.20) ◽  
pp. 82
Author(s):  
Ahamad Zaki Mohamed Noor ◽  
Muhammad Hafidz Fazli Md Fdiaua ◽  
Nur Zul Hafiq Zulkifli ◽  
Muhamad Naqib Abdul Basit ◽  
Fairul Azni Jafar ◽  
...  
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Fuzzy Analytic Hierarchy Process ◽  
Delivery Time ◽  
Sustainable Supply Chain ◽  
Analytic Hierarchy ◽  
The World ◽  
Matlab Programming ◽  
Hierarchy Process

Fuzzy Analytic Hierarchy Process (FAHP) is a well-known method which is currently used by many researchers all around the world. However, the problem lies where the steps are lengthy and consumes time. This paper does the purpose to share a method where Decision Makers (DM) can reduce error or any mistakes while manual compute. A MATLAB programming is develop and field of sustainable supply chain is use as experiment purpose. There is one out of four criteria need to be selected by using FAHP. The criteria are cost, quality, delivery time and supplier distance. Both methods are done simultaneously and the answers were recorded. The percentage accuracy shows 100% for every step showing there is no error and the answers are the same if MATLAB is applied. Final answers for both shows that quality is the highest criterion to be selected based on the weightage.  

HANDLING UNCERTAINTY IN THE ANALYTIC HIERARCHY PROCESS: A STOCHASTIC APPROACH

2007 ◽  
Vol 06 (01) ◽  
pp. 177-189 ◽  
Author(s):  
HAMIDREZA ESKANDARI ◽  
LUIS RABELO
Keyword(s):  
Analytic Hierarchy Process ◽  
Rank Order ◽  
Stochastic Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Propagation Of Uncertainty ◽  
The Analytic Hierarchy Process ◽  
Decision Alternatives ◽  
School Selection ◽  
Hierarchy Process

This paper describes a methodology for handling the propagation of uncertainty in the analytic hierarchy process (AHP). In real applications, the pairwise comparisons are usually subject to judgmental errors and are inconsistent and conflicting with each other. Therefore, the weight point estimates provided by the eigenvector method are necessarily approximate. This uncertainty associated with subjective judgmental errors may affect the rank order of decision alternatives. A new stochastic approach is presented to capture the uncertain behavior of the global AHP weights. This approach could help decision makers gain insight into how the imprecision in judgment ratios may affect their choice toward the best solution and how the best alternative(s) may be identified with certain confidence. The proposed approach is applied to the example problem introduced by Saaty for the best high school selection to illustrate the concepts introduced in this paper and to prove its usefulness and practicality.

Group assessment of key indicators of sustainable waste management in developing countries

2017 ◽  
Vol 35 (9) ◽  
pp. 913-922 ◽  
Author(s):  
Bojana Tot ◽  
Goran Vujić ◽  
Zorica Srđević ◽  
Dejan Ubavin ◽  
Mário Augusto Tavares Russo
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Waste Management ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Borda Count ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Key Indicators ◽  
Hierarchy Process

Decision makers in developing countries are struggling to solve the present problems of solid waste management. Prioritisation and ranking of the most important indicators that influence the waste management system is very useful for any decision maker for the future planning and implementation of a sustainable waste management system. The aim of this study is to evaluate key indicators and their related sub-indicators in a group decision-making environment. In order to gain insight into the subject it was necessary to obtain the qualified opinions of decision makers from different countries who understand the situation in the sector of waste management in developing countries. An assessment is performed by 43 decision makers from both developed and developing countries, and the applied methodology is based on a combined use of the analytic hierarchy process, from the multi-criteria decision-making set of tools, and the preferential voting method known as Borda Count, which belongs to social choice theory. Pairwise comparison of indicators is performed with the analytic hierarchy process, and the ranking of indicators once obtained is assessed with Borda Count. Detailed analysis of the final results showed that the Institutional–Administrative indicator was the most important one, with the maximum weight as derived by both groups of decision makers. The results also showed that the combined use of the analytic hierarchy process and Borda Count contributes to the credibility and objectivity of the decision-making process, allowing its use in more complex waste management group decision-making problems to be recommended.

scholarly journals A Threat Assessment Model under Uncertain Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yong Deng
Keyword(s):  
Threat Assessment ◽  
Interval Number ◽  
Decision Makers ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Optimal Interval ◽  
Proposed Model ◽  
Protection Systems ◽  
Order Preference ◽  
Hierarchy Process

Threat evaluation is extremely important to decision makers in many situations, such as military application and physical protection systems. In this paper, a new threat assessment model based on interval number to deal with the intrinsic uncertainty and imprecision in combat environment is proposed. Both objective and subjective factors are taken into consideration in the proposed model. For the objective factors, the genetic algorithm (GA) is used to search out an optimal interval number representing all the attribute values of each object. In addition, for the subjective factors, the interval Analytic Hierarchy Process (AHP) is adopted to determine each object’s threat weight according to the experience of commanders/experts. Then a discounting method is proposed to integrate the objective and subjective factors. At last, the ideal of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to obtain the threat ranking of all the objects. A real application is used to illustrate the effectiveness of the proposed model.

Sign in / Sign up

Export Citation Format

Share Document