Extension of the ARAS Method for Decision-Making Problems with Interval-Valued Triangular Fuzzy Numbers

Stanujkić, Dragiša

doi:10.15388/informatica.2015.51

Cited by 68 publications

(71 citation statements)

References 54 publications

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“…Zavadskas et al [36] suggested a novel extension of the MULTIMOORA method by combining interval-valued intuitionistic fuzzy terms. Stanujkic et al [37] suggested the extended MULTIMOORA approach based on a triangular fuzzy data set in order to solve a communication circuits design selection problem. Awasthi and Baležentis [38] presented a combinative methodology using BOCR criteria integrated with F-MULTIMOORA approach based on a Monte Carlo simulation sensitivity analysis, in order to determine the robustness of the proposed method to variation in criterion and decision-maker weights in a logistics service provider selection.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

et al. 2018

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A primary issue that is being discussed nowadays in organizations is continuous improvement of the organization itself, because the procedure of periodic evaluation is an important tool to maintain the improvement of the organization. An essential factor in any organization is the human resources as a key asset to guide organizations to sustain their competitive advantages by employing particular knowledge and skills to form a comprehensive and sustainable human resource management. Evaluation of job satisfaction has become a part of the strategic approach toward incorporating business policies and human resource actions in modern day organizations. The current research study presents a novel hybrid validation framework to evaluate and appraise the factors influencing job satisfaction based on the fuzzy MULTIMOORA approach and partial least-squares path modeling (PLS-PM). The proposed fuzzy MCDM technique and statistical method validate each other to present an optimal assessment of influencing factors in job satisfaction. Eventually, a real-world case study in regard to influential factors in job satisfaction has been suggested in this study, to show that the proposed framework is a practical and accurate method to tackle an assessment problem in a real-world application of influencing factors in job satisfaction in a cross-industrial multi-national construction and geotechnical engineering organization in Iran.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

et al. 2018

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“…First, this review is focused on the use of the MCDM utility determining approaches rather than the old MCDM techniques. WASPAS and SWARA methods [225] can be adapted to the development of hybrid MCDM meth- ods such as ARAS, EDAS [226][227][228][229], Investment Value Assessments along with Recommendations (INVAR) [230], CODAS [231,232], Fuzzy Ranking and Aggregated Weights (AFRAW) [233], MULTI-MOORA and MOORA [234][235][236][237][238]. The concept of the neutrosophic set developed by Smarandache is a set model which generalizes the classic set, fuzzy set, interval fuzzy set, intuitionistic fuzzy set and interval valued intuitionistic fuzzy set.…”

Section: Resultsmentioning

confidence: 99%

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

Mardani

Nilashi

Zakuan

et al. 2017

Applied Soft Computing

264

121

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The Multiple Criteria Decision Making (MCDM) utility determining approaches and fuzzy sets are considered to be new development approaches, which have been recently presented, extended, and used by some scholars in area of decision making. There is a lack of research regarding to systematic literature review and classification of study about these approaches. Therefore; in the present study, the attempt is made to present a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years. Regarding this, some major databases including Web of Science, Scopus and Google Scholar have been nominated and systematic and meta-analysis method which called "PRISMA" has been proposed. In addition, the selected articles were classified based on authors, the year of publication, journals and conferences names, the technique and method used, research objectives, research gap and problem, solution and modeling, and finally results and findings. The results of this study can assist decision-makers in handling information such as stakeholders' preferences, interconnected or contradictory criteria and uncertain environments. In addition, findings of this study help to practitioners and academic for adopting the new MCDM utility techniques such as WASPAS and SWARA in different application areas and presenting insight into literature.

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“…ARAS decision making technique is identified as one of the newest among all MCDM methods. Despite this fact, ARAS was put in application to solve different decision making problems (Stanujkic, 2015). A.…”

Section: Discussionmentioning

confidence: 99%

“…Ozbek and E. Erol (2017) also acknowledge wide use of ARAS method and its effective application to solve problems like location choice for logistics centers, energy generation methods' choice, waste dump site selection and other. (Ozbek & Erol, 2017) According to D. Stanujkic (2015) even though ARAS technique enables to solve a lot of decision making problems, application of interval-valued fuzzy numbers could extend use of ARAS even further.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of investing in real estate in EU and non-EU countries based on MCDM

Erdogan

Naumcik

2019

Modern Building Materials, Structures and Techniques (MBMST)

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Investment in real estate is a zoning issue as the real estate market is closely related to economic development and trends in real estate market are considered to be indicators of trends in the whole economy of the country. The goal of this paper is to analyse the main aspects and considerations when investing in real estate, evaluate investment in real estate situation in different EU and non-EU countries and introduce MCDM methods that could be used for selecting a state for investment in real estate. It is identified that when investing in real estate various political, social, economic, environmental and other factors have to be taken into consideration. Analysed examples of EU (Lithuania, Romania, UK) and non-EU (Turkey, China, Russia) countries show different risks and opportunities for investments in real estate. MCDM methods are applicable to evaluate which countries are most attractive for investment in real estate. Described TOPSIS and ARAS methods could be used for assessing states as alternatives when selecting where to invest

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Extension of the ARAS Method for Decision-Making Problems with Interval-Valued Triangular Fuzzy Numbers

Cited by 68 publications

References 54 publications

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

Evaluation of investing in real estate in EU and non-EU countries based on MCDM

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