Heuristic aggregation of individual judgments in AHP group decision making using simulated annealing algorithm

Blagojević, Boško; Srdjević, Bojan; Srdjević, Zorica; Zoranović, Tihomir

doi:10.1016/j.ins.2015.10.033

Cited by 53 publications

(25 citation statements)

References 28 publications

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“…According to Regan et al (, and references therein), outliers might arise for three reasons: (a) outliers know considerably less than the other group members, (b) outliers deliberately misrepresent their views in order to push the central tendency towards their own more moderate position, or (3) outliers know more than the other group members. Arguments supporting each of these possibilities can be found in the literature (e.g., Blagojevic et al, ; Regan et al, ), but it is impossible to generalize and state definitively the reasons for outliers existing in a particular decision‐making process. That is why we consider three different methods of assigning weights to DMs, based on each of the reasons given above and described in more detail below.…”

Section: Methodsmentioning

confidence: 99%

“…In other words, we must first assign weights to DMs in order to reflect their relative importance or contribution to solving the problem. There are many different approaches for handling this issue (Koksalmis & Kabak, 2019); here the focus was on how to treat outliers-those DMs whose views diverge from those of the majority of Arguments supporting each of these possibilities can be found in the literature (e.g., Blagojevic et al, 2016a;Regan et al, 2006), but it is impossible to generalize and state definitively the reasons for outliers existing in a particular decision-making process. That is why we consider three different methods of assigning weights to DMs, based on each of the reasons given above and described in more detail below.…”

Section: Group Decision Makingmentioning

confidence: 99%

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Determining the relative importance of factors affecting the success of innovations in forest technology using AHP

Blagojević

Athanassiadis

Spinelli

et al. 2019

Multi Criteria Decision Anal

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A number of factors affect the success, or otherwise, of any technological innovation. In this paper, we consider factors that affect the success of innovations in the context of forest machinery manufacturing (FMM). We report the results of a study that seeks to determine the relative importance of 19 different factors affecting the success of innovations in the FMM sector. The first stage of the study makes use of the analytic hierarchy process to determine the relative importance (weights) of these factors, based on the responses of 15 decision makers (DMs) employed by different FMM companies. The study then considers three different ways of weighting the responses of DMs, based on different assumptions about how the responses of outliers—those DMs whose views differ significantly from the majority—should be handled. The first method assumes that the responses of all DMs are of equal value. The second assumes that the influence of outliers' responses should be reduced and makes use of a Euclidean distance metric to determine the weight that should be ascribed to each DM's responses. The third assumes that the influence of outliers' responses should be increased and makes use of hierarchical clustering techniques. Although the weight assignment methods were based on very different assumptions about how to treat the views of outliers, they produced similar rankings of factors. Results showed that for FMM companies, customer satisfaction, proportion of total sales by new products, influence on the overall profit of the company, and growth of demand for the company products were the most important factors for measuring the success of innovations.

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Section: Methodsmentioning

confidence: 99%

Section: Group Decision Makingmentioning

confidence: 99%

Determining the relative importance of factors affecting the success of innovations in forest technology using AHP

Blagojević

Athanassiadis

Spinelli

et al. 2019

Multi Criteria Decision Anal

Self Cite

View full text Add to dashboard Cite

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“…Here we propose group decision making, where several decision makers (environmental experts) participate in the process of parameter weighting for landfill evaluation. Although group decision making is more demanding, the main benefits are that different decision makers’ perspectives are included and unreliability of individual decisions is reduced (Blagojevic et al ). Although the previously defined 4 parameters are based on technical and environmental data, the parameter‐weighting process includes social aspect in MCDM.…”

Section: Methodsmentioning

confidence: 99%

A model for prioritizing landfills for remediation and closure: A case study in Serbia

Ubavin

Agarski

Maoduš

et al. 2017

Integr Envir Assess & Manag

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The existence of large numbers of landfills that do not fulfill sanitary prerequisites presents a serious hazard for the environment in lower income countries. One of the main hazards is landfill leachate that contains various pollutants and presents a threat to groundwater. Groundwater pollution from landfills depends on various mutually interconnected factors such as the waste type and amount, the amount of precipitation, the landfill location characteristics, and operational measures, among others. Considering these factors, lower income countries face a selection problem where landfills urgently requiring remediation and closure must be identified from among a large number of sites. The present paper proposes a model for prioritizing landfills for closure and remediation based on multicriteria decision making, in which the hazards of landfill groundwater pollution are evaluated. The parameters for the prioritization of landfills are the amount of waste disposed, the amount of precipitation, the vulnerability index, and the rate of increase of the amount of waste in the landfill. Verification was performed using a case study in Serbia where all municipal landfills were included and 128 landfills were selected for prioritization. The results of the evaluation of Serbian landfills, prioritizing sites for closure and remediation, are presented for the first time. Critical landfills are identified, and prioritization ranks for the selected landfills are provided.

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“…The ranking methods of MCGDM or MCDM have recently attracted more and more attentions in different fields. A series of well-known techniques have been built to solve MCDM problems under various fuzzy environments, such as projection model (Ye, 2017d); VIKOR (Ren, Xu, & Wang, 2017), TOPSIS (Lourenzutti & Krohling, 2016); AHP (Blagojevic, Srdjevic, Srdjevic, & Zoranovic, 2016); ELECTRE (Peng, Wang, Wang, Yang, & Chen, 2015), TODIM (Zhang & Xu, 2014); and other approaches (Liu & Guan, 2009;Wei, 2010). Among them, projection measure has its advantage that it can consider both the distance and the included angle between evaluated alternatives.…”

Section: Introductionmentioning

confidence: 99%

Bidirectional projection measure of linguistic neutrosophic numbers and their application to multi-criteria group decision making

Лю

You

2019

Computers & Industrial Engineering

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A B S T R A C TLinguistic neutrosophic numbers (LNNs) are an effective tool in describing the incomplete and indeterminate evaluation information by using three linguistic variables (LVs) to denote the truth-degree (TD), indeterminacydegree (ID), and falsity-degree (FD), and the bidirectional projection measure has some advantages in dealing with multi-criteria group decision making (MCGDM) problems because it can consider both the distance and the included angle, but more importantly, it considers the bidirectional projection between each alternative and the ideal solution. In this paper, we define a new distance measure between two linguistic neutrosophic sets (LNSs), and build a model based on the maximum deviation to obtain fuzzy measure, further, we develop the bidirectional projection-based MCGDM method with LNNs in which a weight model based on fuzzy measure is proposed where the weights of evaluation criteria is partial unknown and the interactions among criteria are considered. Finally, we use some examples to verify the effectiveness of the proposed approach and demonstrate its advantages by comparing with some existing methods.

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Heuristic aggregation of individual judgments in AHP group decision making using simulated annealing algorithm

Cited by 53 publications

References 28 publications

Determining the relative importance of factors affecting the success of innovations in forest technology using AHP

Determining the relative importance of factors affecting the success of innovations in forest technology using AHP

A model for prioritizing landfills for remediation and closure: A case study in Serbia

Bidirectional projection measure of linguistic neutrosophic numbers and their application to multi-criteria group decision making

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