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Article
Publication date: 6 March 2017

Xiaodong Wang and Jianfeng Cai

For some specific multi-criteria decision-making (MCDM) problems, especially in emergency situations, because of the feature of criteria and other fuzzy factors, it is…

Abstract

Purpose

For some specific multi-criteria decision-making (MCDM) problems, especially in emergency situations, because of the feature of criteria and other fuzzy factors, it is more appropriate that values of different criteria are expressed in their correspondingly appropriate value types. The purpose of this paper is to build a multi-criteria group decision-making (MCGDM) model dealing with heterogeneous information based on distance-based VIKOR to solve emergency supplier selection in practice appropriately and flexibly, where a compromise solution is more acceptable and suitable.

Design/methodology/approach

This paper extends the classical VIKOR to a generalized distance-based VIKOR to handle heterogeneous information containing crisp number, interval number, intuitionistic fuzzy number and hesitant fuzzy linguistic value, and develops an MCGDM model based on the distance-based VIKOR to handle the multi-criteria heterogeneous information in practice. This paper also introduces a parameter called non-fuzzy degree for each type of heterogeneous value to moderate the computation on aggregating heterogeneous hybrid distances.

Findings

The proposed distance-based model can handle the heterogeneous information appropriately and flexibly because the computational process is directly operated on the heterogeneous information based on generalized distance without a transformation process, which can improve the decision-making efficiency and reduce information loss. An example of emergency supplier selection is given to illustrate the proposed method.

Originality/value

This paper develops an MCGDM model based on the distance-based VIKOR to handle heterogeneous information appropriately and flexibly. In emergency supplier selection situations, the proposed decision-making model allows the decision-makers to express their judgments on criteria in their appropriate value types.

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Article
Publication date: 17 August 2015

Antonio Muñoz-Porcar, Mª Jesús Alonso-Nuez, Mónica Flores-García and Daniel Duret-Solanas

The purpose of this paper is the application of a tool to assist the multi-criteria decision-making process for selecting an asset for a company in the metallurgical…

Abstract

Purpose

The purpose of this paper is the application of a tool to assist the multi-criteria decision-making process for selecting an asset for a company in the metallurgical industry which manufactures metal parts for diverse industries.

Design/methodology/approach

This investment, complex due to the commitment of resources it requires, has been made with the assistance of decision-making methodologies, specifically versions I and IV of the ELECTRE method.

Findings

This model of multi-criteria decision making has been chosen over other models because it offers the possibility of including technical and economic decisions so they can be analyzed simultaneously, therefore the decision is not based solely on financial aspects. Many companies base their decisions exclusively on financial returns, however in this case it is also appropriate to include the technical parameters, since the asset being replaced is the most important asset of the company.

Originality/value

Applying version I of the methodology, the optimal technical configuration of the asset will be analyzed based on the features requirements, all of which are among options available in the market. Once a subset of technically and economically viable alternatives has been defined, version IV will be applied and a ranking of the alternatives from the best to the worst will be obtained and, based on this ranking, the final decision will be made.

Details

Management Decision, vol. 53 no. 7
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 18 November 2021

Shervin Zakeri, Fatih Ecer, Dimitri Konstantas and Naoufel Cheikhrouhou

This paper proposes a new multi-criteria decision-making method, called the vital-immaterial-mediocre method (VIMM), to determine the weight of multiple conflicting and…

Abstract

Purpose

This paper proposes a new multi-criteria decision-making method, called the vital-immaterial-mediocre method (VIMM), to determine the weight of multiple conflicting and subjective criteria in a decision-making problem.

Design/methodology/approach

The novel method utilizes pairwise comparisons, vector-based procedures and a scoring approach to determine weights of criteria. The VIMM compares alternatives by the three crucial components, namely the vital, immaterial and mediocre criteria. The vital criterion has the largest effect on the final results, followed by the mediocre criterion and then the immaterial criterion, which is the least impactful on the prioritization of alternatives. VIMM is developed in two forms where the first scenario is designed to solve one-goal decision-making problems, while the second scenario embraces multiple goals.

Findings

To validate the method’s performance and applicability, VIMM is applied to a problem of sustainable supplier selection. Comparisons between VIMM, analytic hierarchy process (AHP) and best-worst method (BWM) reveal that VIMM significantly requires fewer comparisons. Moreover, VIMM works well with both fractional and integer numbers in its comparison procedures.

Research limitations/implications

As an implication for research, we have added the development of the VIMM under fuzzy and grey environments as the direction for optimization of the method.

Practical implications

As managerial implications, VIMM not only provides less complex process for the evaluation of the criteria in the managerial decision-making process, but it also generates consistent results, which make VIMM a reliable tool to apply to a large number of potential decision-making problems.

Originality/value

As a novel subjective weighting method, there exist five major values that VIMM brings over AHP and BWM methods: VIMM requires fewer comparisons compared with AHP and BWM; it is not sensitive to the number of criteria; as a goal-oriented method, it exclusively takes the decision-making goals into account; it keeps the validity and reliability of the Decision-Makers’ (DMs’) opinions and works well with integer and fractional numbers.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 August 2016

Ting-Cheng Chang and Hui Wang

– The purpose of this paper is to select the best scaling coefficient during the quantitative-qualitative conversion.

Abstract

Purpose

The purpose of this paper is to select the best scaling coefficient during the quantitative-qualitative conversion.

Design/methodology/approach

Cloud model can describe the qualitative concept of randomness and fuzziness, achieve uncertain transition between qualitative and quantitative in the field of multi-criteria group decision and has been receiving widespread attention. This paper discusses scale conversion issues of the cloud model when evaluating qualitative information. In order to improve the accuracy of the evaluation on multi-attribute decision problems based on uncertainty of natural linguistic information, this paper proposes a method of self-testing cloud model based on a composite scale (with the exponential scale and the scale as a basis).

Findings

Through experimental verification results show that under composite scale, the best suitable selection of can effectively improve the accuracy and reliability of decision results.

Originality/value

This research presents a new approach to determine the suitable value for coefficient based on uncertain knowledge of natural multi-criteria group decision making, and gives concrete steps and examples. This method has positive significance to improve the quality of qualitative and quantitative conversion based on cloud model.

Details

Engineering Computations, vol. 33 no. 6
Type: Research Article
ISSN: 0264-4401

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Book part
Publication date: 5 October 2018

Abstract

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Article
Publication date: 23 November 2018

Morteza Yazdani, Pascale Zarate, Edmundas Kazimieras Zavadskas and Zenonas Turskis

The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of…

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Abstract

Purpose

The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement.

Design/methodology/approach

This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process.

Findings

The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm.

Originality/value

The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.

Details

Management Decision, vol. 57 no. 9
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 1 July 2006

Graeme Newell and Ross Seabrook

Given the stature of international tourism, hotel properties are an important property investment sector. The purpose of this paper is to assess the importance of a range…

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13731

Abstract

Purpose

Given the stature of international tourism, hotel properties are an important property investment sector. The purpose of this paper is to assess the importance of a range of financial, location, economic, diversification and relationship factors in influencing hotel investment decision making.

Design/methodology/approach

This paper reports the findings of a survey of major hotel investors and hotel owners/operators in Australia regarding the factors influencing hotel investment decision‐making. The AHP multi‐criteria decision‐making methodology is used to assess the weights attached to each of the 30 factors influencing hotel investment decision‐making.

Findings

The main factors influencing hotel investment decision making were financial (weight of 37.0 per cent) and location (29.9 per cent) factors. These were followed by economic (14.5 per cent), diversification (12.0 per cent) and relationship (6.6 per cent) factors. This sees three levels of importance in the factors influencing hotel investment decision making. Differences were also found between the priorities for hotel investors and hotel owners/operators.

Originality/value

Only limited research is available concerning the hotel sector. This paper rigorously assesses the hotel investment process and assists hotel investors in prioritising the significance of 30 key factors and sub‐factors in hotel investment decision‐making.

Details

Journal of Property Investment & Finance, vol. 24 no. 4
Type: Research Article
ISSN: 1463-578X

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Article
Publication date: 29 June 2018

Sandra C. Buttigieg, Dorothy Gauci, Frank Bezzina and Prasanta K. Dey

Length of stay (LOS) in hospital after surgery varies for each patient depending on surgeon’s decision that considers criticality of the surgery, patient’s conditions…

Abstract

Purpose

Length of stay (LOS) in hospital after surgery varies for each patient depending on surgeon’s decision that considers criticality of the surgery, patient’s conditions before and after surgery, expected time to recovery and experience of the surgeon involved. Decision on patients’ LOS at hospital post-surgery affects overall healthcare performance as it affects both cost and quality of care. The purpose of this paper is to develop a model for deriving the most appropriate LOS after surgical interventions.

Design/methodology/approach

The study adopts an action research involving multiple stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). First, a conceptual model is developed using literature and experts’ opinion. Second, the model is applied in three surgical interventions in a public hospital in Malta to demonstrate the effectiveness of the model. Third, the policy alternatives developed are compared to a selection of current international standards for each surgical intervention. The proposed model analyses three LOS threshold policies for three procedures using efficiency and responsiveness criteria. The entire analysis is carried out using 325 randomly selected patient files along with structured interactions with more than 50 stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). A multiple criteria decision-making method is deployed for model building and data analysis. The method involves combining the analytic hierarchy process (AHP) for verbal subjective judgements on prioritizing the four predictors of surgical LOS—medical, financial, social and risk, with pairwise comparisons of the sub-criteria under each criterion in line with the concerned interventions—the objective data of which are obtained from the patients’ files.

Findings

The proposed model was successfully applied to decide on the best policy alternative for LOS for the three interventions. The best policy alternatives compared well to current international benchmarks.

Research limitations/implications

The proposed method needs to be tested for other interventions across various healthcare settings.

Practical implications

Multi-criteria decision-making tools enable resource optimization and overall improvement of patient care through the application of a scientific management technique that involves all relevant stakeholders while utilizing both subjective judgements as well as objective data.

Originality/value

Traditionally, the duration of post-surgery LOS is mainly based on the surgeons’ clinical but also arbitrary decisions, with, as a result, having insufficiently explicable variations in LOS amongst peers for similar interventions. According to the authors’ knowledge, this is the first attempt to derive post-surgery LOS using the AHP, a multiple criteria decision-making method.

Details

Journal of Health Organization and Management, vol. 32 no. 4
Type: Research Article
ISSN: 1477-7266

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Article
Publication date: 3 April 2017

Farshad Faezy Razi and Seyed Hooman Shariat

The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational…

Abstract

Purpose

The purpose of this paper is twofold: the selection of project portfolios through hybrid artificial neural network algorithms, feature selection based on grey relational analysis, decision tree and regression; and the identification of the features affecting project portfolio selection using the artificial neural network algorithm, decision tree and regression. The authors also aim to classify the available options using the decision tree algorithm.

Design/methodology/approach

In order to achieve the research goals, a project-oriented organization was selected and studied. In all, 49 project management indicators were chosen from A Guide to the Project Management Body of Knowledge (PMBOK Guide), and the most important indicators were identified using a feature selection algorithm and decision tree. After the extraction of rules, decision rule-based multi-criteria decision making matrices were produced. Each matrix was ranked through grey relational analysis, similarity to ideal solution method and multi-criteria optimization. Finally, a model for choosing the best ranking method was designed and implemented using the genetic algorithm. To analyze the responses, stability of the classes was investigated.

Findings

The results showed that projects ranked based on neural network weights by the grey relational analysis method prove to be better options for the selection of a project portfolio. The process of identification of the features affecting project portfolio selection resulted in the following factors: scope management, project charter, project management plan, stakeholders and risk.

Originality/value

This study presents the most effective features affecting project portfolio selection which is highly impressive in organizational decision making and must be considered seriously. Deploying sensitivity analysis, which is an innovation in such studies, played a constructive role in examining the accuracy and reliability of the proposed models, and it can be firmly argued that the results have had an important role in validating the findings of this study.

Details

Benchmarking: An International Journal, vol. 24 no. 3
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 17 May 2013

Paule Poulin, Lea Austen, Catherine M. Scott, Cameron D. Waddell, Elijah Dixon, Michelle Poulin and René Lafrenière

When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether…

Abstract

Purpose

When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi‐criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed‐upon criteria and decision tools to enhance a pre‐existing local health technology assessment (HTA) decision support program.

Design/methodology/approach

The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools.

Findings

A set of user‐validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent.

Practical implications

This framework can be used by others to develop decision‐making criteria and tools to enhance similar technology adoption programs.

Originality/value

The development of clear, user‐validated criteria for evaluating new technologies adds a critical element to improve decision‐making on technology adoption, and the decision tools ensure consistency, transparency, and real‐world relevance.

Details

Journal of Health Organization and Management, vol. 27 no. 2
Type: Research Article
ISSN: 1477-7266

Keywords

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