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

Abstract

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.

New q-Rung Orthopair Fuzzy Bonferroni Mean Dombi Operators and Their Application in Multiple Attribute Decision Making

“…Based on Dombi aggregation, Jana et al [14] developed q-rung orthopair fuzzy Dombi weighted averaging operator and q-rung orthopair fuzzy Dombi order weighted averaging operator. Some distance measures in q-rung orthopair fuzzy environment have been investigated [15]- [18]. Peng et al [18] proposed q-rung orthopair fuzzy weighted distance-based approximation method.…”

“…Some distance measures in q-rung orthopair fuzzy environment have been investigated [15]- [18]. Peng et al [18] proposed q-rung orthopair fuzzy weighted distance-based approximation method. Q-rung fuzzy set has been further extended to accommodate uncertain linguistic arguments [19]- [21], interval values [22].…”

Coreference Resolution Using Neural MCDM and Fuzzy Weighting Technique

“…Accordingly, the proposed approach has tried solving these problems by using contextual, semantic and syntactic information for better representation of spans and neural MCDM method for accurate ranking candidate antecedent and better detection rate of co-referent mentions. Peng et al [33] proposed an emergency decision-making approach based on a weighted distance-based approximation (WDBA) method which can obtain the optimal alternative without counterintuitive phenomena and possess a strong ability to differentiate the optimal alternative. They also proffered a new score function for q-rung orthopair fuzzy number (q-ROFN), which takes the hesitation information into consideration that reduce the information losses.…”

New q-Rung Orthopair Hesitant Fuzzy Decision Making Based on Linear Programming and TOPSIS

“…Liu et al [30] defined some q-rung orthopair fuzzy cosine similarity measures and distance measures. Peng et al [31] developed q-rung orthopair fuzzy weighted distance-based method. Du [34] defined some Minkowski-type distances for q-rung orthopair values.…”