Analysis of socioeconomic development by intuitionistic linguistic fuzzy numbers

Imanov, Gorkhmaz; Garibli, Emin; Акбаров, Р.

doi:10.1016/j.procs.2017.11.248

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…The constraints (11-1) and respectively denote the distance between And constraints (11)(12) and (11)(12)(13) ensure the adjustment subscript values within   0, 2t . The constraints from (11)(12)(13)(14) to (11)(12)(13)(14)(15)(16) denotes adjustment variables constraints. After solving Eq.…”

Section: Stage 2 Obtain the Adjust Lifprmentioning

confidence: 99%

“…Since LIFNs can represent preferred and non-preferred qualitative judgments of decision-makers, the LIFNs are considered a flexible linguistic model for decision-makers to express their evaluation information. At present, LIFNs have been applied in many real-world decision-making problems, such as individual financial investment decision-making [13], three-way decision-making [14], scheme selection of design for disassembly [15], analysis of socioeconomic development [16], system failure probability evaluation [17], etc. And several group decision-making methods with LIFNs have been developed, such as outranking method [18], aggregation operator-based method [19],…”

Section: Introductionmentioning

confidence: 99%

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A personalized individual semantics model for computing with linguistic intuitionistic fuzzy information and application in MCDM

Tang²,

Niu³

et al. 2022

Soft Comput

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This paper develops a personalized individual semantics (PISs) model for computing with linguistic intuitionistic fuzzy information and applies to evaluating different brands of mobile phones. First, considering that a linguistic term means different things to different decision-makers, a consistency-driven optimization model for checking the additive consistent linguistic intuitionistic fuzzy preference relations (LIFPRs) is constructed by considering the PISs of a decision maker. Besides, several optimization models is built to determine the PISs of linguistic terms in LIFPRs and obtain the acceptable additive consistent LIFPRs. Second, a new definition of Hamming distance between linguistic intuitionistic fuzzy numbers (LIFNs) is developed by considering the PISs of a decision maker, and several of its desirable properties are discussed. Then, the method of deriving the weight vectors of criteria is calculated based on the proposed distance measure. Subsequently, a framework of group decision making process with LIFPRs is offered, and the application of the proposed method is illustrated by using a multi-criteria decision-making problem about evaluating different brands of mobile phones. Finally, the comparative analysis is conducted to show the feasibility of proposed group decision-making method.

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Section: Stage 2 Obtain the Adjust Lifprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A personalized individual semantics model for computing with linguistic intuitionistic fuzzy information and application in MCDM

Tang²,

Niu³

et al. 2022

Soft Comput

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show abstract

“…Zhang et al (2017) gave two IL MCDM based on HM approaches and their application to evaluation of scientific research capacity. Imanov et al (2017) analyzed thoroughly the impact of external elements to economic state, social consequences and government responses by applying IFLI. Beg and Rashid (2016) built an I2TLI model to solve the problem about a family to purchase a house in best locality.…”

Section: The Applications About the Aos Of Iulvsmentioning

confidence: 99%

An overview of intuitionistic linguistic fuzzy information aggregations and applications

Лю

Gao

2018

MAEM

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Purpose-Intuitionistic linguistic fuzzy information (ILFI), characterized by linguistic terms and intuitionistic fuzzy sets (IFSs), can easily express the fuzzy information in the process of muticriteria decision making (MCDM) and muticriteria group decision making (MCGDM) problems. The purpose of this paper is to provide an overview of aggregation operators (AOs) and applications of ILFI. Design/methodology/approach-First, some meaningful AOs for ILFI are summarized, and some extended MCDM approaches for intuitionistic uncertain linguistic variables (IULVs), such as extended TOPSIS, extended TODIM, extended VIKOR, are discussed. Then, the authors summarize and analyze the applications about the AOs of IULVs. Findings-IULVs, characterized by linguistic terms and IFSs, can more detailed and comprehensively express the criteria values in the process of MCDM and MCGDM. Therefore, lots of researchers pay more and more attention to the MCDM or MCGDM methods with IULVs. Originality/value-The authors summarize and analyze the applications about the AOs of IULVs Finally, the authors point out some possible directions for future research.

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Relief demand forecasting based on intuitionistic fuzzy case-based reasoning

Shao

Liang

Liu

et al. 2021

Socio-Economic Planning Sciences

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Analysis of socioeconomic development by intuitionistic linguistic fuzzy numbers

Cited by 4 publications

References 5 publications

A personalized individual semantics model for computing with linguistic intuitionistic fuzzy information and application in MCDM

A personalized individual semantics model for computing with linguistic intuitionistic fuzzy information and application in MCDM

An overview of intuitionistic linguistic fuzzy information aggregations and applications

Relief demand forecasting based on intuitionistic fuzzy case-based reasoning

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