A Dynamic Weight Determination Approach Based on the Intuitionistic Fuzzy Bayesian Network and Its Application to Emergency Decision Making

Hao, Zhinan; Zhang, Xu; Zhao, Hua; Fujita, Hamido

doi:10.1109/tfuzz.2017.2755001

Cited by 87 publications

(40 citation statements)

References 45 publications

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“…The high quality and feasibility of contingency plans will directly affect subsequent emergency operations and the evolution of disasters. Therefore, the evaluation and decision of a given emergency plan for simulation is considered to be crucial for disaster management of mining accidents …”

Section: Some Illustrative Examplesmentioning

confidence: 99%

“…1. If there exists k such that a = (0, 1) ik , then according to Equations (8) and (10), we can obtain the integrated value q-ROFWG a a a ( ,…, ,…, )= i i k i n 1 q-ROFWGHM a a a ( ,…, ,…, ) = (0, 1) i i k i n 1 of alternative A i . It may give rise to counterintuitive phenomena in decision-making issue.…”

Section: Preliminariesmentioning

confidence: 99%

“…One country or region want to seize his own opportunity for reducing further damage and enhancing rapid recovery ability in the complex disasters, which should give a optimal alternative with efficiency and speed. Therefore, the idea that regards the process to select the optimal alternative to deal such dominating multiple attribute decision‐making (MADM) problem comes to my mind …”

Section: Introductionmentioning

confidence: 99%

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Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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With the intensification of global warming trends, the frequent occurrence of natural disasters has brought severe challenges to the sustainable development of society. Emergency decision‐making (EDM) in natural disasters is playing an increasingly important role in improving disaster response capacity. In the case of EDM evaluation, the essential problem arises serious incompleteness, impreciseness, subjectivity, and incertitude. The q‐rung orthopair fuzzy set (q‐ROFS), disposing the indeterminacy portrayed by membership and nonmembership with the sum of qth power of them, is a more viable and effective means to seize indeterminacy. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the failure problems when comparing two q‐ROFNs. Firstly, we introduce some basic set operations for q‐ROFS. The properties of these operations are also discussed in detail. Later, we propose a q‐rung orthopair fuzzy decision‐making method based on weighted distance‐based approximation (WDBA), in which the weights of decision‐makers are obtained from a nonliner optimization model according to the deviation‐based method. Finally, some examples are investigated to illustrate the feasibility and validity of the proposed approach. The salient features of the proposed method, compared to the existing q‐rung orthopair fuzzy decision‐making methods, are as follows: (a) it can obtain the optimal alternative without counterintuitive phenomena and (b) it has a great power in distinguishing the optimal alternative.

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Section: Some Illustrative Examplesmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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“…The high quality and feasibility of the emergency plans will directly influence the later emergency actions, and affect the evolution of disasters. Consequently, the evaluation and decision of the given emergency plans with simulations is considered essential for the disaster management of mine accidents (Hao, Xu, Zhao, & Fujita, 2017). X.…”

Section: A Case Study In Mine Emergency Decision Makingmentioning

confidence: 99%

Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure

Peng

Garg

2018

Computers & Industrial Engineering

164

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A B S T R A C TThis paper aims to give deeper insights into decision making problem based on interval-valued fuzzy soft set (IVFSS). Firstly, a new score function for interval-valued fuzzy number is proposed for tackling the comparison problem. Subsequently, the formulae of information measures (distance measure, similarity measure and entropy) are introduced and their transformation relations are pioneered. Then, the objective weights of various parameters are determined via new entropy method, meanwhile, we develop the combined weights, which can show both the subjective information and the objective information. Moreover, we propose three algorithms to solve interval-valued fuzzy soft decision making problem by Weighted Distance Based Approximation (WDBA), COmbinative Distance-based ASsessment (CODAS) and similarity measure. Finally, the effectiveness and feasibility of approaches are demonstrated by a mine emergency decision making problem. The salient features of the proposed methods, compared to the existing interval-valued fuzzy soft decision making methods, are (1) it can obtain the optimal alternative without counterintuitive phenomena; (2) it has a great power in distinguishing the optimal alternative; and (3) it can avoid the parameter selection problems.

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Section: A Case Study In Mine Emergency Decision Makingmentioning

confidence: 99%

New Operations for Interval-valued Pythagorean Fuzzy Set

Peng¹

2018

Scientia Iranica

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Interval-valued Pythagorean fuzzy set (IVPFS), originally proposed by Peng and Yang, is a novel tool to deal with vagueness and incertitude. As a generalized set, IVPFS has close relationship with interval-valued intuitionistic fuzzy set (IV-IFS). IVPFS can be reduced to IVIFS satisfying the condition µ + + ν + ≤ 1. However, the related operations of IVPFS do not take different conditions into consideration. In this paper, we initiate some new interval-valued Pythagorean fuzzy operators (♢, , ♠, ♣, , →, $) and discuss their properties in relation with some existing operators (∪, ∩, ⊕, ⊗) in detail. It will promote the development of interval-valued Pythagorean fuzzy operators. Later, we propose an algorithm to deal with multi-criteria decision making (MCDM) problem based on proposed ♠ operator. Finally, the effectiveness and feasibility of proposed algorithm is demonstrated by mine emergency decision making example.

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A Dynamic Weight Determination Approach Based on the Intuitionistic Fuzzy Bayesian Network and Its Application to Emergency Decision Making

Cited by 87 publications

References 45 publications

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure

New Operations for Interval-valued Pythagorean Fuzzy Set

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