scholarly journals SOFTWARE SELECTION ON BASE OF FUZZY AHP METHOD

Author(s):  
Salimov Vagif Hasan Oglu ◽  
Damirova Javida Rizvan Qizi

The article is devoted to the problem of multi-criteria decision making. As application problem is used the software selection problem. The analysis of existing methods for solving this problem is given. As a method for solving this problem, the most popular fuzzy AHP method (Analytic Hierarchy Process) is proposed. This method use original algorithm for pairwise comparison of criteria and alternatives. The issues of practical implementation of this method are discussed in details. The results of the solution test problem at all stages are presented.

Telematika ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 80
Author(s):  
Meiyanto Eko Sulisyo ◽  
Ristu Saptono

Bank Rakyat Indonesia (BRI) is a business entity which collects funds from the public in the form of deposits and distribute to the public in the form of the People 's Business Credit (KUR) or loan. Along with over time after KUR realized, there is no doubt BRI will be faced with the problems of risk, namely the risk of KUR problematic. There are several methods that can be used in making a decision to be able to solve the problem include the Analytical Hierarchy Process (AHP).AHP is used when the decision involves many factors, where the decision had difficulty in making the weight of each factor. Despite this problem the use of AHP in Multiple Criteria Decision Making (MCDM) approach has less to cope with uncertainties taken by decision-makers, when it should give a definite value in the pairwise comparison matrix therefore, to overcome the weaknesses of the existing AHP then developed a method namely Fuzzy Analytic Hierarchy Process (F-AHP). F-AHP method is the combination between fuzzy AHP approach. The results of research conducted using the Fuzzy Analytic Hierarchy Process (F-AHP) has a 100 % accuracy this is evidenced by the results obtained together with the calculation of banking. Calculation banking mention of 20 customers, acquired 14 accepted and rejected 6.


2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.


2020 ◽  
Vol 10 (4) ◽  
pp. 79-87
Author(s):  
V.M. Romanchuk

The Analytic hierarchy process (AHP) is a popular method for solving multi-criteria problems. However, the problem of the adequacy of the AHP method is not solved. Opponents of the Analytic hierarchy process believe that the AHP as a whole is erroneous and cannot be applied in practice. Proponents of the method believe that the disadvantages of the method are compensated by a simple measurement procedure. In this paper, a modification of the AHP method is proposed. A mathematical model of measurement is formulated, which contains a built-in mechanism for checking adequacy. moreover, the measurement method is preserved, and the calculation algorithm becomes even simpler. The fact is that the Analytic hierarchy process is based on the assumption that the scale of relations can be obtained by pairwise comparison using numerical judgments based on the absolute scale of numbers. Fechner’s psychophysical law is considered as a justification for the existence of the scale of relations. But there are not one, but two psychophysical laws. The existence of two psychophysical laws is a problem of psychophysics. This problem can be solved by the rating method. To overcome the disadvantages of the Analytic hierarchy process, it is also proposed to use the rating method. The use of the rating method makes it possible to use the fundamental scale of the AHP method. As an example, the problem is solved using the traditional AHP scale.


Author(s):  
M. R. GHOLAMIAN ◽  
S. M. T. FATEMI GHOMI ◽  
M. GHAZANFARI

The establishment of the priorities from pairwise comparison matrices is the major constituent of the Analytic Hierarchy Process (AHP). However, the number of pairwise comparisons necessary in real problems often becomes overwhelming. In such cases, generally the experts are not able to answer all questions and consequently sparse judgment matrix is generated which caused "equal ranks" and "rank reversal" based on AHP method. In this paper, a new ranking system (FARSJUM) is developed for such sparse judgment matrix. The system is constructed on fuzzy rules and fuzzy reasoning methods. The numerical example of world cup soccer tournament is brought to clarify the performance of the developed system comparing with AHP method in ranking the sparse judgment matrices.


2020 ◽  
Vol 162 (A4) ◽  
Author(s):  
B Kamal ◽  
G Kara ◽  
O Okşaş

The market in container shipping has been characterised as highly cyclical. In a depressed stage of the cycle, with a sharp decrease in demand, the gap between supply and demand widens significantly leading to a deepening overcapacity in the sector. In order to reduce overcapacity in the container shipping sector specific actions have been undertaken by such shipping operators. This paper describes a study which modelled certain selection criteria applied to overcapacity absorbing methods for containership companies. The relative ranking of each criterion was determined through a fuzzy- AHP method. In order to conduct the method, five main and twenty seven sub-criteria were determined. The results of this approach showed that during the times of a collapsed market the most preferred type of overcapacity absorbing method is to lay-up vessels, followed by adopting slow-steaming and thirdly, scrapping. Newbuilding contract cancellation/postponement and service suspension were found to have the least effect.


Author(s):  
B Kamal ◽  
G Kara ◽  
O Okşaş

The market in container shipping has been characterised as highly cyclical. In a depressed stage of the cycle, with a sharp decrease in demand, the gap between supply and demand widens significantly leading to a deepening overcapacity in the sector. In order to reduce overcapacity in the container shipping sector specific actions have been undertaken by such shipping operators. This paper describes a study which modelled certain selection criteria applied to overcapacity absorbing methods for containership companies. The relative ranking of each criterion was determined through a fuzzy- AHP method. In order to conduct the method, five main and twenty seven sub-criteria were determined. The results of this approach showed that during the times of a collapsed market the most preferred type of overcapacity absorbing method is to lay-up vessels, followed by adopting slow-steaming and thirdly, scrapping. Newbuilding contract cancellation/postponement and service suspension were found to have the least effect.


2016 ◽  
Vol 15 (03) ◽  
pp. 553-573 ◽  
Author(s):  
Amel Ennaceur ◽  
Zied Elouedi ◽  
Eric Lefevre

In this paper, the analytic hierarchy process (AHP) method is extended to an uncertain environment where the uncertainty is represented by belief functions as interpreted in the transferable belief model (TBM). Our proposed approach, called belief AHP, is developed to help the decision maker to determine what the best alternatives are, considering multiple conflicting criteria where both alternatives and criteria may be soiled with imperfection. The Belief AHP method aims at comparing subsets of criteria and groups of alternatives in order to reduce the pair-wise comparisons number. Furthermore, to handle uncertainty that may appear in the comparison procedure, we use basic belief assignments (BBA) instead of exact ratios to elicitate expert preferences. Finally, to illustrate the feasibility of our approach and to judge its performances, we have applied our proposed method on a real application problem: we have considered the polyvinyl chloride (PVC) life cycle assessment especially the end of life phase.


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