A Novel Sorting Method Topsis-Sort: An Application for Tehran Environmental Quality Evaluation

Sabokbar, H A Faraji; Hosseini, ‌Ali; Banaitis, Audrius; Banaitienė, Nerija

doi:10.15240/tul/001/2016-2-006

Cited by 46 publications

(25 citation statements)

References 71 publications

(48 reference statements)

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“…Multi Criteria Decision Making (MCDM) methods have the inherent capability and potential to support the subjective evaluation of performance criteria and to make the best decisions even from the most conflicting criteria (Gudienė et al 2014;Mortazavi Ravari et al 2016;Kumar et al 2017;Keshavarz Ghorabaee et al 2018). In the real estate business, MCDM methods are employed in a variety of areas including risk investment (Bispinck 2012;Baležentis et al 2012;Padhi et al 2015;Faraji Sabokbar et al 2016), real estate brokerage service evaluation (Ferreira et al 2017), housing attributes (Thériault et al 2003;Pourahmad et al 2015), quality of life (Sabokbar et al 2016;Kaklauskas et al 2018), security, investor behaviour analysis (Bispinck 2012) and location (Haddad et al 2011). However, there is no literature available on the assessment of innovation capabilities of real estate firms using MCDM Kimberly and Evanisko (1981), Grant (1996), Lev and Zarowin (1999), Young et al (2001), Davidsson and Honig (2003), Smith et al (2005), Wong and He (2005), Freel (2006), Vivares et al (2016) Human capital and innovativeness capability Research and development cooperation capability Lev and Zarowin (1999), Young et al (2001), Davidsson and Honig (2003), Smith et al (2005), Wong and He (2005), Freel (2006), Tan and Nasurdin (2011), Vaccaro et al (2012), Lusch and Nambisan (2015),…”

Section: Applications Of Multi Criteria Decision Making Methods In Thmentioning

confidence: 99%

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Kaviani

Hafezalkotob

Zavadskas

2017

International Journal of Strategic Property Management

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Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.

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Section: Applications Of Multi Criteria Decision Making Methods In Thmentioning

confidence: 99%

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Kaviani

Hafezalkotob

Zavadskas

2017

International Journal of Strategic Property Management

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“…Thus, the compensation that can arise under this method might be undesirable at certain levels. This same problem might occur when using AHPSort (Ishizaka, Pearman, & Nemery, 2012) or TOPSIS-Sort (Sabokbar, Hosseini, Banaitis, & Banaitiene, 2016) because these methods are fully compensatory. The veto concept would be an alternative way to address the issue of an unbalanced set of alternatives.…”

Section: An Overview Of the Literaturementioning

confidence: 99%

Sorting Subcontractors’ Activities in Construction Projects With a Novel Additive-Veto Sorting Approach

Palha

Almeida

Morais

et al. 2019

Journal of Civil Engineering and Management

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Selection processes in civil engineering infrastructure projects might require more time and effort than the decisionmakers involved in these projects are normally prepared to devote to running them. A novel approach is proposed to sort these activities into classes that represent their impact on the project, namely additive-veto sorting model, which should be considered before any bidding procedure. Therefore, problems regarding the client’s satisfaction caused by subcontractors can be avoided, and the decision-makers involved in the selection problem can devote to each class an effort compatible with the impact that activity might have on the project. The novelty of this method is that it was built to reflect the quasi-compensatory rationality of decision-makers in the construction industry; it provides them with insights on subcontractors’ activities, and it is grounded on and inspired by a real case study. The new parameters proposed within this model introduce the idea of vetoing an activity being assigned to a class when this activity is incompatible with the decision-maker’s preferences. By using this novel method, the authors succeeded in finding results that avoided a complete compensation amongst the factors considered, taking into account ranges that would be of significant importance in the decision process.

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“…For instance, UTADIS (Jacquet-Lagrèze and Siskos 1982) is the sorting variant of UTA. (Sabokbar, Hosseini et al 2016) supports sorting problems with TOPSIS. VIKORSORT (Demir, Akpınar et al 2018) is the sorting variant of VIKOR.…”

Section: Literature Reviewmentioning

confidence: 99%

Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems

Ishizaka¹,

Tasiou²,

Martínez

2019

Journal of the Operational Research Society

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Analytic Hierarchy Process (AHP) is a well-founded and popular method in the Multi-Criteria Decision Analysis (MCDA) field. Recently, AHPSort, a sorting variant, uses crisp class-assignment of alternatives. This can sometimes be misleading, especially for alternatives near the border of two classes. This paper aims at making the class assignment process in AHPSort more flexible by using fuzzy sets theory, which facilitates soft transitions between classes and provides additional information about the membership of alternatives in each class that can be used to fine tune actions beyond the crisp sorting process. This essentially complements the ordinal information of its crisp variant with cardinal information as to the degree of membership of an alternative to each class. The applicability of the proposed approach is illustrated in a case study that regards the classification of London boroughs according to their safety levels.

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A Novel Sorting Method Topsis-Sort: An Application for Tehran Environmental Quality Evaluation

Cited by 46 publications

References 71 publications

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Sorting Subcontractors’ Activities in Construction Projects With a Novel Additive-Veto Sorting Approach

Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems

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