Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection

Çalışkan, Emre; Aksakal, Erdem; Çetinyokuş, Saliha; Çetinyokuş, Tahsin

doi:10.1142/s0219622019500330

Cited by 11 publications

(9 citation statements)

References 63 publications

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“…Çalişkan et al [10] have presented a decision model for a chemical industry. The model was utilized to evaluate the software used to detect the explosion, fire and toxic emission of hazardous chemicals.…”

Section: Related Workmentioning

confidence: 99%

“…Several criteria such as the number of downloads, the number of reviews given by the users, user rating, latest upgradation available, memory requirement to load no page and five pages, date/year of launch, disc space needed, time to open a new tap, and the URL loading time are influencing the selection of browser [12,18]. Actually, the decision making on software evaluation and selection is a very complex, expensive and time consuming issue in an organization [10].…”

Section: Introductionmentioning

confidence: 99%

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Browser Selection for Android Smartphones Using Novel Fuzzy Hybrid Multi Criteria Decision Making Technique

Arunagiri¹,

Pandian²,

Krishnasamy³

et al. 2022

ITC

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IT and Telecommunication sector has grown massively over the past few decades. Mobile phones that were initially developed for making calls and now become an essential item and are just not restricted to calling. They have dominated most of the gadgets like computers, cameras etc. Regularly people come across an extensive number of enhanced and better-quality features being inbuilt with them. A variety of mobile phones with different shapes and sizes are manufactured within a wide range of budgets. This is the key motivation behind an exponential growth in the number of users and the arrival of new manufacturers in the field. Along with this growth, there is a fast growth of mobile application software providers also. Apart from calling, many consumers use smartphones for browsing the internet. This puts users into a dilemma to select a better browser for their smartphone to fulfill their requirements. With this aim, an attempt is made in this paper for the evaluation and selection of a better browser. To achieve this, a hybrid Multi Criteria Decision Making (MCDM) approach is proposed by combining COPRAS (Complex Proportional Assessment of alternatives) technique and Fuzzy Analytical Hierarchy Process (FAHP).

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Browser Selection for Android Smartphones Using Novel Fuzzy Hybrid Multi Criteria Decision Making Technique

Arunagiri¹,

Pandian²,

Krishnasamy³

et al. 2022

ITC

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“…Various research has been dedicated to developing methodologies effective in the selection and ranking of e-learning websites (Garg, 2020;Garg et al, 2018;Samanlioglu & Ayaug, 2019). In like manner, some research efforts have been targeted at selecting and ranking software for specific purposes (Ayaug, 2020;Çalicskan, Aksakal, Çetinyokucs, & Çetinyokucs, 2019;Farshidi, Jansen, de Jong, & Brinkkemper, 2018;Hanine, Boutkhoum, Tikniouine, & Agouti, 2016;Nursal, Omar, & Nawi, 2018;Sagnak & Kazancoglu, 2019;Subramanian & Gershon, 1991). Çalicskan et al, (2019), proposed an analytical hierarchy process (AHP) and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) approach for the ranking and selection of hazard analysis and consequence modelling software by considering eight criteria, namely: customizability, developer support, financial properties, security, technical properties, user support, usage properties and vendor properties.…”

Section: Literature Reviewmentioning

confidence: 99%

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Ighravwe

Babatunde

Mosetlhe

et al. 2021

Environ Dev Sustain

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The calls for actions to combat climate change have resulted in renewable energy adoption and, consequently, an emerging renewable energy industry. Of course, this has also precipitated the need for more renewable energy expert grounded in hybrid renewable energy system (HRES) software to support the growing industry. Hence, selecting particular software for teaching renewable energy modules for the training of students at a university level is essential. The appraisal and selection of HRES sizing and optimisation software have become crucial for instructors and learners being prepared for the industry. This paper's central contribution is to provide academics, tutors, and researchers in the field of renewable energy system sizing with an idea on how to proficiently and effectively deploy multicriteria decision-making (MCDM) approaches in HRES sizing and optimisation software selection problems. A framework that combines fuzzy entropy method and fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was used to rank HRES simulation software. The performance of the framework was compared with that of the complex proportional assessment (COPRAS) method. The article observed a difference between the fuzzy VIKOR and COPRAS solution for ranking the most preferred software; the most preferred option using the Fuzzy VIKOR is the BCHP screening tool, and HOMER for the COPRAS method. They ranked the least preferred software as RETScreen (VIKOR method) and ORCED (COPRAS method).

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“…Triantaphyllou and Lin [8] discussed advantages of AHP in many real-life selection problems. AHP had been integrated with other theories and practices by researchers to solve many decision-making problems in MCDM scenarios [9][10]. Zhang et al [11] proposed a method for prioritization using additive and multiplicative relative deviation interconnection in pairwise comparison matrices.…”

Section: Introductionmentioning

confidence: 99%

Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments

Goyal¹,

Singh²,

Kalra³

et al. 2022

Computer Systems Science and Engineering

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This paper proposes anoptimal fuzzy-based model for obtaining crisp priorities for Fuzzy-AHP comparison matrices. Crisp judgments cannot be given for real-life situations, as most of these include some level of fuzziness and complexity. In these situations, judgments are represented by the set of fuzzy numbers. Most of the fuzzy optimization models derive crisp priorities for judgments represented with Triangular Fuzzy Numbers (TFNs) only. They do not work for other types of Triangular Shaped Fuzzy Numbers (TSFNs) and Trapezoidal Fuzzy Numbers (TrFNs). To overcome this problem, a sum of squared error (SSE) based optimization model is proposed. Unlike some other methods, the proposed model derives crisp weights from all of the above-mentioned fuzzy judgments. A fuzzy number is simulated using the Monte Carlo method. A threshold-based constraint is also applied to minimize the deviation from the initial judgments. Genetic Algorithm (GA) is used to solve the optimization model. We have also conducted casestudiesto show the proposed approach's advantages over the existingmethods. Results show that the proposed model outperforms other models to minimize SSE and deviation from initial judgments. Thus, the proposed model can be applied in various real time scenarios as it can reduce the SSE value upto 29% compared to the existing studies.

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Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection

Cited by 11 publications

References 63 publications

Browser Selection for Android Smartphones Using Novel Fuzzy Hybrid Multi Criteria Decision Making Technique

Browser Selection for Android Smartphones Using Novel Fuzzy Hybrid Multi Criteria Decision Making Technique

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments

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