scholarly journals MULTI-CRITERIA DECISION MAKING METHODS FOR DETERMINING COMPUTER PREFERENCE INDEX

Author(s):  
Maznah Mat Kasim ◽  
Haslinda Ibrahim ◽  
Mahmoud S. Bataineh

In helping consumers to make a wise decision in purchasing a personal computer (PC), the use of multi-criteria decision analysis methods is a way to provide ranking of the attributes of PCs and to construct the computer preference index (CPI). This paper employs the Rank Ordered Centroid (ROC) method to do the ranking. The findings reveal that the most important attribute is the CPU, followed by the hard drive, the price, the memory card, the warranty, the size, the screen resolution, the Ethernet, the weight and the DVD. Whilst, the CPI is constructed by using a Multi-Criteria Decision Making (MCDM), called the Simple Additive Weighting (SAW) method. Analysis of data from 25 PCs from four brands, Toshiba, Dell, HP Compaq and Acer, presents the CPI. The resulted CPI shows that two HP Compaq models, Presario V3632 and V3653 are preferred most, while, Acer Aspire 4920-5AA0516MI is the least preferred.  

2011 ◽  
Vol 17 (2) ◽  
pp. 284-295 ◽  
Author(s):  
Milena Medineckienė ◽  
Folke Björk

The article describes typical apartment buildings built in Swedish residential areas in the ‘50s, ‘60s and 70's. Each of these buildings included calculations on the effects and investment cost of a number of renovation measures aimed at improving energy efficiency. By applying multi-criteria decision making methods Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Complex Proportion Assessment (COPRAS), the preferences of building owners regarding renovation measures were studied. The study highlighted four important criteria, including the use of energy from district heating and electricity, investment cost and payback period. The owner preferences were found to have a major impact on the outcome of the study. These owners gave sufficient weight to renovation measures within a short payback period. Renovation actions falling out to be quite attractive are additional thermal insulation in the attic and heat recovery from exhaust air. Santrauka Straipsnyje išnagrinėti trys tipiniai švedų daugiabučiai, pastatyti 6-ajame, 7-ajame ir 8-ajame dešimtmečiais. Buvo atlikti kiekvieno šių pastatų atnaujinimo priemonių skaičiavimai, įvertinantys efektyvumą ir investavimo apimtis, kuriomis siekiama didinti energijos vartojimo efektyvumą. Taikant daugiakriterinius sprendimo priemimo metodus, tokius kaip Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and COmplex PRoportion Assessment (COPRAS), buvo tiriami savininkų teikiami prioritetai pastatų atnaujinimo priemonėms. Tyrimas buvo atliekamas vertinant keturis pastatų kriterijus: energija, vartojama centralizuotam šildymui, ir elektros energija, investicijų sąnaudos ir atsipirkimo laikotarpis. Atlikus skaičiavimus buvo nustatyta, kad didelę įtaką tyrimo rezultatams daro savininku nuomonė. Šie savininkai daugiausia demesio skyrė trumpam renovacijos priemonių atsipirkimo laikotarpiui. Viena patrauklesnių renovacijos priemonių yra papildoma šilumos izoliacija palėpėje ir šilumos gavimas iš ištraukiamo oro.


2016 ◽  
Vol 16 (4) ◽  
pp. 1019-1033 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers

Abstract. This paper provides a review of multi-criteria decision-making  (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures.


2015 ◽  
Vol 3 (11) ◽  
pp. 6689-6726 ◽  
Author(s):  
M. M. de Brito ◽  
M. Evers

Abstract. This paper provides a review of Multi-Criteria Decision Making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. Totally, 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed and classified into the following application areas: (1) ranking of alternatives for flood mitigation, (2) reservoir flood control, (3) susceptibility, (4) hazard, (5) vulnerability, (6) risk, (7) coping capacity, and (8) emergency management. Additionally, the articles were categorized based on the publication year, MCDM method, whether they were or were not carried out in a participatory process, and if uncertainty and sensitivity analysis were performed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. The Analytical Hierarchy Process (AHP) was the most popular technique, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest on MCDM, uncertainty analysis remains an issue and is seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Based on the survey, some suggestions for further investigation are provided.


2020 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Eddy Kurniawan ◽  
Achmad Miftakhul Ilmi ◽  
Nufan Balafif

Telkomsel Distribution Center (TDC) Jombang has problems in promoting employees to fill the Supervisor (SPV) and Branch Manager (BM) positions. TDC Jombang has several assessment criteria for employees to be able to fill SPV and BM positions. But in the assessment process, each criterion still tends to be subjective. In making decisions based on several criteria, a Multi-Criteria Decision Making (MCDM) approach can be used by applying the method that is considered most appropriate to produce the best alternative decision recommendations. This study aims to provide the best solution by implementing the Multi-Criteria Decision Making approach using the SAW (Simple Additive Weighting) method which will be programmed in a computer-based decision support system (SPK). The SAW method was chosen because it can weigh the values on each attribute and rank to get the best alternative recommendations. The data used are Jombang TDC employee data. From this study, it was obtained that the use of the SAW method programmed in the SPK succeeded in presenting information comparing the value of preferences between candidates. Candidates with the highest preference value are the most recommended alternatives to choose


2019 ◽  
Vol 3 (3) ◽  
pp. 01-15
Author(s):  
Adeel Ahmad ◽  
Sana Akram ◽  
Muhammad Farhan Tabassum ◽  
Alia Kausar ◽  
Nousheen Ilyas

This paper advocates Multi-Criteria Decision-Making (MCDM) which evaluates the operation performance of airports using Fuzzy Simple Additive Weighting (FSAW) method. Assigned weights by decision- makers were in a linguistic form. These linguistic forms were converted into triangular fuzzy numbers. We chose three airports designated as A1, A2 and A3 and examined by four decision makers D1, D2, D3 and D4 under a fuzzy environment for performance against the chosen criteria. FSAW method gives similar decision results which shows that this method is effective, relevant and reliable for this kind of MCDM.


2013 ◽  
Vol 19 (4) ◽  
pp. 675-686 ◽  
Author(s):  
Leonardas Marozas ◽  
Nikolaj Goranin ◽  
Antanas Cenys ◽  
Lukas Radvilavičius ◽  
Zenonas Turskis

Currently, control of access to information and physical resources has become extremely important. Numerous methods and solutions for architecture of systems aimed at controlling physical access are available; however, there is little information about application of Multi-Criteria Decision Analysis methods when evaluating separate logical components, needed for the design of access control systems and their interconnection in the final architecture.This paper is the first part of a two-part article, discussing application of multi-criteria decision making for architecture of access control systems. The first part defines the problem and discusses the possibility to use Multi Criteria Decision Making techniques when designing access control systems, including risk analysis for specific criteria and practical application of the developed model. In the second part, the possible solution model will be presented.


2021 ◽  
Author(s):  
Mahuya Deb

Performance evaluations in organizations are viewed as ideal instruments for evaluating and rewarding the employee’s performance. While much emphasis is laid onto the administering of the evaluation techniques, not much thought has been laid out on assessing the contributions of each hierarchical level. Moreover the manifold decision making criteria can also impact the measurement of pertinent contributions because of their ambivalent characteristics. In such a scenario, intuitionistic fuzzy multi-criteria decision making can help strategists and policy makers to arrive at more or less accurate decisions. This paper restricts itself to six decision making criteria and adopts the intuitionistic fuzzy simple additive weighting (IFSAW) method and TOPSIS method to evaluate and rank the employee cadres. The results obtained were compared and both the methods revealed that the middle management displayed impeccable performance standards over their other counterparts.


d'CARTESIAN ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 24
Author(s):  
Glorya Ontah ◽  
Winsy Weku ◽  
Altien Rindengan

Abstrak Banjir yang melanda di berbagai wilayah Indonesia merupakan suatu fenomena logis karena negara ini berada di daerah tropis dengan intensitas curah hujan yang sangat tinggi. Penelitian bertujuan untuk memetakan daerah berisiko banjir di Kota Manado. Pemetaan wilayah berisiko banjir di Kota Manado memerlukan beberapa pendapat atau masukan dari berbagai pihak. Atribut yang digunakan yaitu kemiringan lahan (%), ketinggian wilayah (%), DAS (km), luas pemukiman/wilayah tutupan lahan (%) dan curah hujan (mm). Penentuan wilayah banjir di Kota Manado menggunakan Fuzzy Multi Criteria Decision Making (MCDM) dengan dua (2) metode yaitu Simple Additive Weighting Method (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Hasil dengan menggunakan metode SAW dan SAW Fuzzy menunjukkan bahwa wilayah paling berisiko banjir yaitu Kecamatan Wenang. Hasil dengan menggunakan metode TOPSIS dan TOPSIS Fuzzy menunjukkan bahwa wilayah paling berisiko banjir yaitu Kecamatan Bunaken. Wenang sebagai wilayah banjir disebabkan lahan yang berada di dataran landai, ketinggian wilayah di bawah 240 meter, memiliki aliran sungai, intensitas curah hujan tinggi, dan besarnya tutupan lahan mencapai 94,59%. Bunaken menjadi wilayah banjir karena Bunaken memiliki aliran sungai terpanjang di Kota Manado yaitu 17,9 km. Kata kunci: Fuzzy, Kota Manado, MCDM, SAW, TOPSIS, Wilayah Banjir.


Author(s):  
Kadriye Burcu Yavuz Kumlu ◽  
Şule Tüdeş

In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.


2020 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Katerina Kabassi ◽  
Christos Karydis ◽  
Athanasios Botonis

The evaluation of cultural websites is a complicated procedure that depends on several criteria. The main contribution of this paper is on showing how this process may be implemented. For this reason, different multi-criteria decision-making methods are combined and compared for processing the results of the evaluation. More specifically, the paper provides the criteria for evaluating a website of cultural heritage and presents the application of Analytical Hierarchy Process for estimating the weights of the criteria. Then, it compares two different multi-criteria decision-making models, fuzzy simple additive weighting and fuzzy weighted product model, for being combined with Analytical Hierarchy Process and processing the results of the evaluation. The evaluation involves 29 websites of the conservation labs of the international museums and useful conclusions are extracted about the application of all methods and the combination of Analytical Hierarchy Process with fuzzy simple additive weighting and fuzzy weighted product model.


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