scholarly journals Group Analytic Hierarchy Process Sorting II Method: An Application to Evaluate the Economic Value of a Wine Region Landscape

Author(s):  
Vanessa Assumma ◽  
Marta Bottero ◽  
Alessio Ishizaka ◽  
Menelaos Tasiou

AbstractIn the ongoing context of climate change, there is an increasing need to support decision-making processes in the domain of landscape planning and management. Suitable evaluation techniques are needed to take into account the interests of actors and stakeholders in shared policy decisions. An important methodological contribution to the field is given by the Multicriteria Decision Analysis (MCDA), due to its ability to combine multiple aspects of a decision problem with the values and opinions expressed by different Decision Makers. The present paper develops the “Group Analytic Hierarchy Process Sorting II method” (GAHPSort II), which aims to sort a group of municipalities included in the UNESCO site “Vineyard Landscape of Piedmont: Langhe-Roero, and Monferrato” (Italy) according to the economic attractiveness of the landscape. Extending the previous versions AHPSort I, AHPSort II and GAHPSort, the GAHPSort II optimizes multi-stakeholder evaluations on large databases by reducing the number of comparisons. Moreover, the GAHPSort II method is proposed as a novel spatial decision support system because it combines a set of economic indicators for landscape and GIS methods for aiding the Decision Makers to better understand the case study and to support the definition and localization of policies and strategies of landscape planning and management.

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun

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.


2015 ◽  
Vol 2 (1) ◽  
pp. 65
Author(s):  
Safrizal Safrizal

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%.


2011 ◽  
Vol 7 (13) ◽  
pp. 107 ◽  
Author(s):  
Jerónimo Aznar Bellver ◽  
Vicente Estruch Guitart

The valuation of these goods can be a relevant element for their conservation and improvement, though the intangible and immaterial aspects of environmental assets difficult the utilisation of the traditional methods of valuation. This work presents a methodology for the valuation of those assets combining multi-criteria methods, the Analytic Hierarchy Process and the Goal Programming and traditional method the Discounted Cash Flows. The combination of both techniques allows extracting an indicator of the Total Economic Value (TEV) of an environmental asset, as well as of each partial value which make up the TEV, including tangible and intangible elements. The proposed methodology is applied to the valuation of the 'Alto Tajo' Natural Park.


2015 ◽  
Vol 77 (1) ◽  
Author(s):  
Najah Sofia Md Zaini ◽  
Noor Ezlin Ahmad Basri ◽  
Shahrom Md Zain ◽  
Nur Fatin Mat Saad

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.


Author(s):  
Dwi Ayu Wira Savitri ◽  
D. M. Priyantha Wedagama ◽  
I G. Putu Suparsa

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.


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 ◽  
...  

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.  


Author(s):  
HAMIDREZA ESKANDARI ◽  
LUIS RABELO

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.


2017 ◽  
Vol 35 (9) ◽  
pp. 913-922 ◽  
Author(s):  
Bojana Tot ◽  
Goran Vujić ◽  
Zorica Srđević ◽  
Dejan Ubavin ◽  
Mário Augusto Tavares Russo

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.


Author(s):  
Konstantin Yury Degtiarev ◽  
Mikhail Yury Borisov

The Analytic Hierarchy Process (AHP) enables decision-makers to prioritize alternatives. However, when an expert expresses judgments using natural language statements (e.g. words or phrases) inherent vagueness of language constructs can cause the interpretation to be imprecise. The fuzzy Analytic Hierarchy Process (FAHP) can be viewed in the context of the classical AHP expansion. While performing pairwise comparisons domain experts are accustomed to operating with verbal terms in their judgments. Most existing FAHP approaches do not consider a human’s confidence in the estimates provided. This paper presents a model that gives weight to the constraints on domains of expert assessments as they are almost always supplied with certain degrees of confidence. Interval type-2 membership functions (IT2MF) along with the probability-theoretical procedure for comparison of intervals can be applied here as suitable modeling options. Empirical comparison of FAHP that makes use of triangular fuzzy numbers and IT2MF-based FAHP is also presented.   


Sign in / Sign up

Export Citation Format

Share Document