Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating

Zolfani, Sarfaraz Hashemkhani; Aghdaie, Mohammad Hasan; Derakhti, Arman; Zavadskas, Edmundas Kazimieras; Varzandeh, Mohammad Hossein Morshed

doi:10.1016/j.eswa.2013.06.040

Cited by 218 publications

(88 citation statements)

References 35 publications

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“…Later, modification of the method WASPAS-IFIV was introduced [30]. There are a number of applications of WASPAS method, including site selection for wind turbine [31], deciding shopping mall locating [32] or assessing sites for implementation of solar projects [33]. Also the method was successfully applied for evaluating alternative technological or design solutions in construction [34] - [37], manufacturing [38], business issues [39] or even for performance analysis and ranking of scholarly journals [40].…”

Section: Fuzzy Group Weight Is Determined As Followsmentioning

confidence: 99%

A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection

Turskis¹,

Zavadskas²,

Antuchevičienė³

et al. 2015

INT J COMPUT COMMUN

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229

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The purpose of this article is to propose a fuzzy multi-attribute performance measurement (MAPM) framework using the merits of both a novel Weighted Aggregated Sum-Product Assessment method with Fuzzy values (WASPAS-F) and Analytical Hierarchy Process (AHP). The object of this study is to select the best shopping centre construction site in Vilnius. A number of conflicting qualitative and quantitative attributes exist for evaluating alternative construction sites. Qualitative attributes are accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of multi-attribute decision making (MADM) problems. Fuzzy AHP is applied for assigning weights of the attributes and WASPAS-F method is used to determine the most suitable alternative.

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Section: Fuzzy Group Weight Is Determined As Followsmentioning

confidence: 99%

A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection

Turskis¹,

Zavadskas²,

Antuchevičienė³

et al. 2015

INT J COMPUT COMMUN

Self Cite

229

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“…From the base a research decision making problem can be structured based on foresight perspective. Hashemkhani Zolfani et al (2013) consider this perspective in a locating topic about shopping mall site selection. Wang et al (2013) considered grey numbers in evaluating MADM model in a time period.…”

Section: Latest Contributions Related To the Madm And Future Studiesmentioning

confidence: 99%

“…During the previous decade dynamic perspective has added in different ways into the MADM structure and methodology (Xu 2008;Lou et al 2010;Campanella, Ribeiro 2011;Trutnevyte et al 2012;Zhang 2012;Durbach, Stewart 2012a;Hashemkhani Zolfani et al 2013;Tadic et al 2014;Gonzalez-Prida et al 2014;Jassbi et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Madm and Futures Studies; A Necessity

Zolfani

Maknoon

Zavadskas

2016

9th International Scientific Conference “Business and Management 2016”

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Abstract. Multiple Attribute Decision Making (MADM) has been developing in different methods, perspectives and frameworks since introducing step. Futures Studies as a specialized framework and methodology has introduced newer and has been always in developing phase too. MADM as a part of Multiple Criteria Decision Making is known as multi-disciplinary approach, framework and methodology. Nowadays, Futures Studies is also known as multi-disciplinary approach too. Basically, MADM is structured for a stable environment while most decisions need to be made, dynamically. Time is so much important especially in the new century in comparison with the past. Decisions making about future are usually so complicated and MADM can be helpful in that process. Importance of making future based decisions is undeniable in trying to answer to decision needs. This research will present a comprehensive review on the literature of MADM and new orientations in considering future in MADM models and necessity of them will be checked also carefully. Eventually, importance of seeing both MADM and Futures Studies together as a unit model will be discussed in this study.

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“…It is also applied to the determination of the location areas of wind farms in [8], while in [9] in combination with factor relationship (FARE) it is applied in hard magnetic material selection. Solving the location problem for the construction of a shopping center was discussed in [10], where this method is also applied. Zavadskas et al [11] evaluated apartments in residential buildings using the WASPAS method.…”

Section: Applications Of Weighted Aggregated Sum Product Assessment (mentioning

confidence: 99%

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

et al. 2018

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Abstract:The decision-making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as supply chain management. One of the most important items in the initial phase of the supply chain, which strongly influences its further flow, is to decide on the most favorable supplier. In this paper a selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry was made based on the new approach developed in the field of multi-criteria decision making (MCDM). The relative values of the weight coefficients of the criteria are calculated using the rough analytical hierarchical process (AHP) method. The evaluation and ranking of suppliers is carried out using the new rough weighted aggregated sum product assessment (WASPAS) method. In order to determine the stability of the model and the ability to apply the developed rough WASPAS approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient λ in the first part. The second part of the sensitivity analysis relates to the application of different multi-criteria decision-making methods in combination with rough numbers that have been developed in the very recent past. The model presented in the paper is solved by using the following methods: rough Simple Additive Weighting (SAW), rough Evaluation based on Distancefrom Average Solution (EDAS), rough MultiAttributive Border Approximation area Comparison (MABAC), rough Višekriterijumsko kompromisno rangiranje (VIKOR), rough MultiAttributiveIdeal-Real Comparative Analysis (MAIRCA) and rough Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA). In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient (SCC) of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. The proposed rough model allows the evaluation of alternatives despite the imprecision and lack of quantitative information in the information-management process.

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Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating

Cited by 218 publications

References 35 publications

A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection

A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection

Madm and Futures Studies; A Necessity

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

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