Computational complexity and influence of numerical precision on the results of intercriteria analysis in the decision making process

Atanassova, Vassia; Roeva, Olympia

doi:10.7546/nifs.2018.24.3.53-63

Cited by 24 publications

(15 citation statements)

References 19 publications

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“…The compexity of OTIFAFr algorithm is O(Dm 2 n 2 ) [15]). For the application of the OTIFAFr algorithm, we will use an updated version of the C++ utility we previously developed for the IFIMOA and IVIFIMOA algorithms.…”

Section: A An Optimal Temporal Intuitionistic Fuzzy Algorithm For Ass...mentioning

confidence: 99%

Software Implementation of the Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection

Traneva¹,

Mavrov²,

Tranev³

2022

Annals of Computer Science and Information Systems

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The selection of the most suitable franchisee applicant in an uncertain environment in a particular moment of time is a key decision for a franchisor and the success of a franchising business. In this work, for the first time, we describe a problem for choosing the optimal candidate for the franchise chain and algorithm for a solution in terms of temporal intuitionistic fuzzy pairs and index matrices as a means for data analysis in uncertain conditions over time. We also use our software utility to demonstrate the proposed algorithm and to apply the decision support approach to a franchisee selection for the largest fast food restaurant chain in Bulgaria.

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Section: A An Optimal Temporal Intuitionistic Fuzzy Algorithm For Ass...mentioning

confidence: 99%

Software Implementation of the Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection

Traneva¹,

Mavrov²,

Tranev³

2022

Annals of Computer Science and Information Systems

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“…The complexity of the algorithm whithout step 5 is O(Dmn) (the complexity of the ICrA in the step 5 is O(m 2 n 2 ) [17]).…”

Section: A Optimal Ivif Selection Of the Providersmentioning

confidence: 99%

Interval-Valued Intuitionistic Fuzzy Decision-Making Method using Index Matrices and Application in Outsourcing

Traneva¹,

Tranev²,

Mavrov³

2021

Annals of Computer Science and Information Systems

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Selecting a suitable outsourcing service provider is a challenging problem that requires discussion among a group of experts. The problems of this type belongs to the area of multicriteria decision-making. Interval-valued intuitionistic fuzzy sets, which are an extension of intuitionistic fuzzy sets, are a capable tool in modeling uncertain problems. In this paper we will formulate an optimal interval-valued intuitionistic fuzzy multicriteria decision-making problem in outsourcing and propose a new approach for the selection of the most appropriate candidates; as well as a software program for its automated solution, based on our previous libraries. As an example of a case study, an application of the algorithm on real data from a refinery is demonstrated.

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“…The last step determinates the new rating coefficients of the experts. Let the expert d s (s = 1, ..., D) is participated in γ s procedures, on the basis of which his score r s = δ s , s is determined, then after his participation in (γ s + 1)-th procedure his score will be determined by [5]: The complexity of the algorithm whithout step 5 is O(Dmn) (the complexity of the ICrA in the step 5 is O(m 2 n 2 ) [10]).…”

Section: Intuitionistic Fuzzy Index-matrix Selection For the Outosourcing Providers At A Companymentioning

confidence: 99%

Intuitionistic Fuzzy Index-Matrix Selection for the Outsourcing Providers at a Refinery

Traneva

Tranev

2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

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Outsourcing is the transfer of a business process that has been traditionally operated and managed internally to external service providers. In order to reduce costs and improve their core competitiveness, many companies tend to choose the outsourcing of some services. The problem of this type belongs to multicriteria decision making. The imprecision in this problem may arise from the nature of the characteristics of the candidates for the outsourcing service providers, which can be unavailable or indeterminate. It may also be derived from the inability of the experts to formulate a precise evaluation. Intuitionistic fuzzy sets (IFSs) are the stronger tool for dealing with uncertain data than fuzzy ones because, unlike them, they have a degree of hesitancy.Here, we will formulate an intuitionistic fuzzy generalized optimal outsoursing problem and an algorithm for selection the most effective outsourcing service providers is proposed using the consepts of index matrices (IMs) and intuitionistic fuzzy logic. The proposed decision model takes the ratings of the experts and the weighting factors of the evaluation criteria according to their priorities for the outsourcing services into consideration. The main contributions of the paper are: its proposition for intuitionistic fuzzy approach for selecting the most suitable candidates for outsourcing providers using the concept of IMs on the one hand, and its application for the outsourcing problem of a refinery.

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Computational complexity and influence of numerical precision on the results of intercriteria analysis in the decision making process

Cited by 24 publications

References 19 publications

Software Implementation of the Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection

Software Implementation of the Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection

Interval-Valued Intuitionistic Fuzzy Decision-Making Method using Index Matrices and Application in Outsourcing

Intuitionistic Fuzzy Index-Matrix Selection for the Outsourcing Providers at a Refinery

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