An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions

Wang, Hai; Xu, Chao; Zhang, Xu; Zeng, Xiao‐Jun; Pedrycz, Witold

doi:10.1109/access.2019.2892844

Cited by 5 publications

(6 citation statements)

References 82 publications

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“…Group decision-making is incorporated into TBDA in Feng and Lai ( 2014 ); Wang et al, 2019 ). However, their mechanisms are different.…”

Section: Comparisons and Discussionmentioning

confidence: 99%

“…Spizzichino et al ( 2019 ) point out the connection between multi-attribute target-based utilities and copulas-based extensions of fuzzy measures that are the generalization of the multilinear model and Choquet integral. Moreover, some aggregation operators are applied to construct TBDA model, such as weighted aggregating operator (Wang et al, 2019 ), Choquet integral (Yan et al, 2013 ) and so on.…”

Section: Introductionmentioning

confidence: 99%

“…Feng and Lai ( 2014 ) introduce a multi-attribute group decision making approach with targets for strategic freight forwarder selection. Huynh et al ( 2010 ) propose a linguistic TBDA approach to consumer-oriented Kansei evaluation and Wang et al ( 2019 ) propose a TBDA approach for qualitative decision-making with complex linguistic expressions and apply it to a provider selection problem. TBDA has also been applied to support optimal resource allocation in transportation security (Kosanoglu & Bierb, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…Practically, the decision makers should be given freedom to assess fruitful and flexible forms to enable effective evaluation, and these diverse forms of expression should be dealt with in a unified framework. The second limitation is that applications of multi-attribute target-based preference functions mainly focus on additive forms (Bordley & Kirkwood, 2004 ; Wang et al, 2019 ), simplifying the relationships among attributes in aggregation functions. Additive target-based preference functions require additive target preferences to be verified.…”

Section: Introductionmentioning

confidence: 99%

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Multilinear target-based decision analysis with hybrid-information targets and performance levels

Zhang

Feng

Tong

et al. 2022

Fuzzy Optim Decis Making

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For several classes of decisions, the use of target-based decision analysis (TBDA) is more appropriate than utility analysis. Recent literature on TBDA mainly focuses on different expression forms of targets and performance levels, and on different types of aggregation operators in terms of multi-attribute preference functions. However, different expression forms are usually introduced separately in literature, which cannot fully support the inherent complexity of problems along with different perception and knowledge levels of decision makers during assessing targets and performance levels. Furthermore, although there are attractive features of multilinear target-based preference functions (MTPFs), its applications are seldom considered because of the complexity of identifying their coefficients. In order to solve these two issues, an integrated approach is proposed for multilinear hybrid-information target-based decision analysis, which can deal with diverse forms of targets and performance levels, and identify the coefficients of MTPFs. First, given targets and performance levels for each attribute being expressed in multiple forms simultaneously, a generalized procedure is proposed to transform different forms into probability distributions, and to measure probability of target achievement for each attribute. Second, a novel procedure to identify the coefficients of MTPFs is proposed. This procedure is based on the multilinear model and 2-additive fuzzy measures, which is based on the equivalence between multilinear model based on fuzzy measures and MTPFs. The approach is applied to a case study involving customer competitive evaluation of smart thermometer patches to demonstrate its feasibility and advantages.

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“…Group decision-making is incorporated into TBDA in Feng and Lai ( 2014 ); Wang et al, 2019 ). However, their mechanisms are different.…”

Section: Comparisons and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multilinear target-based decision analysis with hybrid-information targets and performance levels

Zhang

Feng

Tong

et al. 2022

Fuzzy Optim Decis Making

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“…In order to improve the uncertain and fuzzy of linguistic description, Xu [22] defined an uncertain linguistic variable. Rodriguez et al [15] presented hesitant fuzzy linguistic term sets (HFLTSs) and there are many studies about HFLTSs [16][17][18][19][20]67].…”

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

et al. 2020

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This paper develops a new method based on generalized hybrid Shapley Choquet integral for interval-valued hesitant fuzzy uncertain linguistic multi-criteria group decision making (MCGDM), where interactive characteristics of criteria is taken into account. First, a score function and a new accuracy function are defined to rank the interval-valued hesitant fuzzy uncertain linguistic elements (IVHFULEs). Based on the Shapley Choquet integral, some generalized Shapley Choquet operator for IVHFULEs are proposed including an interval-valued hesitant fuzzy uncertain linguistic generalized Shapley Choquet (IVHFULGSC) operator and an interval-valued hesitant fuzzy uncertain linguistic generalized hybrid Shapley Choquet (IVHFULGHSC) operator and some attractive properties for these two operators are investigated in detail. Then a Shapley Choquet integral-based Minkowski distance of interval-valued hesitant fuzzy uncertain linguistic sets (IVHFULSs) is defined. Subsequently, based on the maximization deviation method, a linear programming model is built to determine the individual fuzzy measure on criteria set for each decision maker (DM). By utilizing the individual closeness coefficients matrices, a new multi-objective fractional programming model which maximizes the collective relative closeness degrees of all alternatives is constructed to obtain the fuzzy measure on DMs set. The individual decision matrices are aggregated into the collective one by using the IVHFULGHSC operator. To obtain the collective Shapely fuzzy measure on criteria set, a linear programming model is established by maximizing the deviation of the evaluations of different alternatives on each criterion. Then, the collective closeness coefficients of alternatives are calculated to rank the alternatives. Thus, a new method based on generalized hybrid Shapley Choquet integral operator is brought forward for MCGDM with IVHFULEs. Finally, an example of investment on shared bikes is provided to illustrate the applicability of the proposed method and a validity test is conducted to demonstrate the effectiveness of the proposed method.INDEX TERMS Multi-criteria group decision making, Interval-valued hesitant fuzzy uncertain linguistic sets, Shapley Choquet integral, Technique for order preference by similarity to ideal solution (TOPSIS)

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A bi-projection model based on linguistic terms with weakened hedges and its application in risk allocation

Wang

Zhang

2020

Applied Soft Computing

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An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions

Cited by 5 publications

References 82 publications

Multilinear target-based decision analysis with hybrid-information targets and performance levels

Multilinear target-based decision analysis with hybrid-information targets and performance levels

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

A bi-projection model based on linguistic terms with weakened hedges and its application in risk allocation

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