Linguistic decision analysis: steps for solving decision problems under linguistic information

Herrera, Francisco; Herrera‐Viedma, Enrique

doi:10.1016/s0165-0114(99)00024-x

Cited by 1,355 publications

(685 citation statements)

References 44 publications

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“…An investment company wants to invest a sum of money in the best option. There is a panel with five possible alternatives to invest the money: a car company 1 A , a food company 2 A , a computer company 3 A , an arms company 4 A and a TV company 5 A . The investment company must take a decision according to the four attributes: the risk analysis 1 a , the growth analysis 2 a , the social-political impact analysis 3 a and the environmental impact analysis 4 a .…”

Section: The Magdm Methods With 2-tuple Linguistic Assessment Informationmentioning

confidence: 99%

Some Hybrid Geometric Aggregation Operators with 2-tuple Linguistic Information and Their Applications to Multi-attribute Group Decision Making

Wan¹

2013

IJCIS

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A new method is developed to solve multi-attribute group decision making (MAGDM) problem in which the attribute values, attribute weights and expert weights are all in the form of 2-tuple linguistic information. First, the operation laws for 2-tuple linguistic information are defined and the related properties of the operation laws are studied. Then, some new hybrid geometric aggregation operators with 2-tuple linguistic information are developed, involving the 2-tuple hybrid weighted geometric average (THWAG) operator, the 2-tuple hybrid linguistic weighted geometric average (T-HLWG) operator and the extended 2-tuple hybrid linguistic weighted geometric average (ET-HLWG) operator. These hybrid geometric aggregation operators generalize the existing 2-tuple linguistic geometric aggregation operators and reflect the important degrees of both the given 2-tuples and the ordered positions of the 2-tuples. In the proposed decision method, using the ET-HLWG operators the individual overall preference values of the alternatives are integrated into the collective ones of the alternatives, which are used to rank the alternatives. The method can sufficiently consider the importance degrees of different experts and thus relieve the influence of those unfair arguments on the decision results. A real example of evaluating university faculty is given to illustrate the proposed method and the comparison analysis demonstrates the universality and flexibility of the proposed method in this paper.

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Section: The Magdm Methods With 2-tuple Linguistic Assessment Informationmentioning

confidence: 99%

Some Hybrid Geometric Aggregation Operators with 2-tuple Linguistic Information and Their Applications to Multi-attribute Group Decision Making

Wan¹

2013

IJCIS

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“…Referring the historical documents and according to the complexity of guaranteed products risk, this paper selects the following nine indicators (attributes) to build the evaluation system u j . Metric content u 1 Moral risk The enterprise's credit and the degree of moral judgments u 2 Financial risk Judgments of the financial situation u 3 Market risk Judgments on the situation of the market u 4 Operation risk The operation and management capacity evaluation u 5 Anti-guarantee products risk…”

Section: Establishment Of Risk Evaluation Indicator System Of Credit mentioning

confidence: 99%

“…Poor credit will not only hinder consumption growth but also hamper fund flow [1]. In order to increase such kind of mobility, specialized agencies are needed to provide guaranteed products to the society, that is, credit guaranteed products.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making through Uncertain Linguistic Information by Multi-attribute Group: Concerning Credit Guarantee Products Risk

He¹,

Weng²

2014

Appl. Math. Inf. Sci.

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According to the complexity of credit guarantee products risk, a corresponding risk evaluation system is established here. And uncertain linguistic information is adopted to describe the attribute weight and attribute value of evaluation indicators, and thus a multi-attribute group decision-making model of uncertain linguistic information concerning credit guarantee products risks is established. ULWM and ULHA operators are respectively used in this paper to collect evaluation values of synthesized attribute and overall attribute values of groups. And thus the comprehensive evaluation information of alternatives will be obtained. Then, possibility formula is used to construct a possibility matrix based on which we can decide how to arrange the decision-making schemes. At last, through case analysis, the feasibility and efficiency of evaluation of credit guarantee products risks are demonstrated here.

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“…Then we focus on the two dimensions where we believe the DM's attitude is most subjective: risk (Section 3) and confidence (Section 4). We handle risk by extending the so-called linguistic approach [1,13,17,21,39] that has previously been explored with fuzzy MCDM in [7, 10-12, 20, 32-34]. The linguistic approach is an approximate way to represent natural words or sentences used in human judgment and perception.…”

Section: Introductionmentioning

confidence: 99%

Risk and confidence analysis for fuzzy multicriteria decision making

Fenton

Wang

2006

Knowledge-Based Systems

111

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Recent research has recognised that multicriteria decision making (MCDM) should take account of uncertainty, risk and confidence. This paper takes this research forward by using linguistic variables and triangular fuzzy numbers to model the decision maker's (DM) risk and confidence attitudes in order to define a more complete MCDM solution. To illustrate the computation process and demonstrate the feasibility of the results we use a travel problem that has been used previously to assess MCDM techniques. The results show that the method is useful for tackling imprecision and subjectivity in complex, ill-defined and human-oriented decision problems.

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Linguistic decision analysis: steps for solving decision problems under linguistic information

Cited by 1,355 publications

References 44 publications

Some Hybrid Geometric Aggregation Operators with 2-tuple Linguistic Information and Their Applications to Multi-attribute Group Decision Making

Some Hybrid Geometric Aggregation Operators with 2-tuple Linguistic Information and Their Applications to Multi-attribute Group Decision Making

Decision-Making through Uncertain Linguistic Information by Multi-attribute Group: Concerning Credit Guarantee Products Risk

Risk and confidence analysis for fuzzy multicriteria decision making

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