Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information

Hashemi, Shide Sadat; Hajiagha, Seyed Hossein Razavi; Zavadskas, Edmundas Kazimieras; Mahdiraji, Hannan Amoozad

doi:10.1016/j.apm.2015.08.011

Cited by 143 publications

(86 citation statements)

References 35 publications

(41 reference statements)

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“…The most prevalent of these are Complex Proportional Assessment (COPRAS) [24], Elimination and Choice Expressing Reality (ELECTRE) [25], Analytic Hierarchy Process (AHP) [26], VIseKriterijumska OptimizancijaI Kompromisno Resenje (VIKOR) [27], and many other methods such as Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), Step-wise Weight Assessment Ratio Analysis (SWARA) or Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Researchers can refer to [28] for more information about MCDM methods and a comparison between them.…”

Section: Best-worst Methodology (Bwm)mentioning

confidence: 99%

A Novel Hybrid Approach for Technology Selection in the Information Technology Industry

et al. 2018

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High-tech companies are rapidly growing in the world. Research and development (hereafter R&D) department strength is the main asset that allows a firm to achieve a competitive advantage in high-tech businesses. The allocated budget to this sector is finite; thus, integration, human resource, risk and budget limitations should be considered to choose the most valuable project in the best portion of time. This paper investigates a case study from a high-tech company in Iran to prioritize the most attractive technologies for the R&D department. The case consists of twenty three technology options and the goal is to find the most attractive projects to sort them out for implementation in the R&D department. In this research, scholars proposed the best-worst method (henceforth BWM) to find the weight of the criteria of the attractive technologies in first step and utilize the newly developed method total area based on orthogonal vectors (henceforward TAOV) to sort the selected technologies based upon the identified criteria. Project integration is one of the least-noticed subjects in scientific papers; therefore, the researchers presented a zero or one linear programming (ZOLP) model to optimize and schedule the implementation procedure on the project risk, budget and time limitation simultaneously. The results indicate that starting few but attractive projects in the first years and postponing the rest to the future, helps a firm to manage funds and gain profit with the least amount of risk.

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Section: Best-worst Methodology (Bwm)mentioning

confidence: 99%

A Novel Hybrid Approach for Technology Selection in the Information Technology Industry

et al. 2018

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“…The outranking method facilitates comparison between alternatives by ascribing initial weights as part of a sensitivity analysis, if their exact value is not known. The comparison between alternatives is carried out on a pairwise basis and then the degree of dominance or outranking of one option over another is established [41,42].…”

Section: Multi-criteria Decision Making: Fuzzy Ahp-electre IIImentioning

confidence: 99%

Study of the Competitiveness of Quanzhou Port on the Belt and Road in China Based on a Fuzzy-AHP and ELECTRE III Model

Gao

Dang

et al. 2018

Sustainability

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Abstract:With the establishment of the Belt and Road national strategy, Quanzhou Port is a significant development opportunity. Quanzhou Port is the origin of the 21st century Maritime Silk Road and part of the Belt and Road, but as a pioneer project of the Maritime Silk Road and the main port in the Belt and Road strategy, its development has encountered some challenges and problems. Hence, this paper aims to evaluate the competitiveness of Quanzhou Port based on the criteria selected by experts and corresponding improvement suggestions are put forward for its weaknesses. Using fuzzy-AHP and ELECTRE III, port competitiveness is evaluated according to the total weights obtained based on the different criteria used. The key criteria consist of six factors (port size, port location, hinterland economy, port costs, operations management and growth potential) that are divided into 18 sub-criteria. Five competing ports were selected with respect to geographical proximity. The order of ranking according to ELECTRE III are as follows: Kaohsiung Port, Xiamen Port, Fuzhou Port, Taichug Port and Quanzhou Port. The findings show that the port of Quanzhou appears last in the ordering sequence, resulting in a need for integrative approaches to promote its competitiveness. Compared with competitive ports, Quanzhou Port has relatively weak overall infrastructure and relatively high port costs, which leads to a lack of obvious flow of port materials and a decrease in professional unloading services. Particularly in hinterland port economies, the industrial structure is extensive and backward. Hence, the question of how to achieve a green transformation of the manufacturing industry will be important for Quanzhou Port. This paper points out directions for the future development of Quanzhou Port and applies comprehensive evaluation methods, namely fuzzy-AHP and ELECTRE III.

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“…In general, there are three things to be done about the criteria used in the issues [18][19][20][21][22][23][24]:…”

Section: Application Of Fuzzy Analytical Hierarchy Process (Fahp) Formentioning

confidence: 99%

Application of Fuzzy Analytical Hierarchy Process (FAHP) for Selecting the Suitable Hydraulic Fracturing Method in Oil Recovery Enhancement

2018

International Journal of Petroleum and Petrochemical Engineerin

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Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information

Cited by 143 publications

References 35 publications

A Novel Hybrid Approach for Technology Selection in the Information Technology Industry

A Novel Hybrid Approach for Technology Selection in the Information Technology Industry

Study of the Competitiveness of Quanzhou Port on the Belt and Road in China Based on a Fuzzy-AHP and ELECTRE III Model

Application of Fuzzy Analytical Hierarchy Process (FAHP) for Selecting the Suitable Hydraulic Fracturing Method in Oil Recovery Enhancement

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