The proposed q-rung orthopair fuzzy set (q-ROFS) and picture (PIFS) are two powerful tools for depicting fuzziness uncertainty. This paper proposes a new tool, called linguistic (q-RPLS) to deal with vagueness impreciseness in multi-attribute group decision-making (MAGDM). q-RPLS takes full advantages of q-ROFS PIFS reflects decision-makers’ quantitative qualitative assessments. To effectively aggregate information, we extend the classic Heronian mean (HM) q-RPLSs propose family operators,...

The recently proposed q-rung orthopair fuzzy set (q-ROFS) characterized by a membership degree and non-membership is powerful tool for handling uncertainty vagueness.This paper proposes the concept of linguistic (q-ROLS) combining term sets with q-ROFSs.Thereafter, we investigate multi-attribute group decision making (MAGDM) information.To aggregate numbers ( q-ROLNs), extend Heronian mean (HM) to q-ROLSs propose family operators, such as (q-ROLHM) operator, weighted (q-ROLWHM) geometric...

The sum of membership and non-membership degrees the Pythagorean fuzzy set is greater than one with their square less or equal to one. Thus, as an extension intuitionistic set, a powerful tool describe fuzziness uncertainty. aim this s tudy introduce some new operators for aggregating information apply them multi-attribute decision making. Considering advantages power average operator Muirhead mean, we mean investigate it under environment. aggregation operators, such weighted are developed....

Eliminating poverty, improving people’s livelihood, building a well-off society in all aspects and achieving common prosperity are the essential requirements of socialism. The 19th Party Congress formally put forward strategy rural revitalization made it focus direction reform development new period. In this context, how to make basic precise poverty alleviation implemented into practice, realize work better contribute both practical academic questions that need be further explored....

The recently proposed q-rung picture fuzzy set (q-RPFSs) can describe complex and uncertain information effectively. Hamy mean (HM) operator gets good performance in the process of aggregation due to its ability capturing interrelationships among aggregated values. In this study, we extend HM environment, propose novel operators, demonstrate their application multi-attribute group decision-making (MAGDM). First all, on basis Dombi t-norm t-conorm (DTT), operational rules numbers (q-RPFNs)....

Building on the preceding studies, this paper aims to extend latest capability maturity model integration (CMMI)-based organization assessment fuzzy environment. Our approach has overcome limitations of CMMI-based models. proposed is based multi-attribute decision-making (MADM) incorporating group decision making. The rating qualitative factors crisp values may be insufficient real-world MADM industrial problem. For controlling human subjective vagueness, linguistic variables are translated...

The recently proposed q-rung orthopair fuzzy set (q-ROFS) is an effective tool for handling fuzziness and uncertainty in the process of multi-attribute group decision making (MAGDM). Considering that most MAGDM problems, not only makers' quantitative evaluation information but also thei r qualitative assessment opinions should be taken into account, this paper proposes a concept uncertain linguistic sets (q-ROULSs) by combining q-ROFSs with variables (ULVs). q-ROULSs parallel to...

Abstract Risk assessments are increasingly being applied to financial institutions and banks, especially on loan risk assessments. When deciding approve the applicant’s or not, banks need assess whether lender has conditions. Usually this is a very difficult decision. In paper, new integrated approach Fuzzy Pythagoras Scoring (FPS) model, including Pythagorean fuzzy analytic hierarchy process (PFAHP) comprehensive evaluation (FCE), used for personal assessment. The risks of decision analysis...

The cubic fuzzy graph structure, as a combination of graphs and structures, shows better capabilities in solving complex problems, especially cases where there are multiple relationships. quality method determining the degree vertices this type simultaneously supports membership interval-valued membership, addition to multiplicity relations, motivated us conduct study on regularity structures. In context, concepts vertex total have been informed some its properties studied. regard,...

<abstract><p>Entropy is an important tool of information measurement in the fuzzy set and its inference. The research on based interval-valued Pythagorean sets mostly involves distance formula for numbers, but seldom fuzziness. In view this situation, we have aimed to propose new entropy weighted exponential schemes. Based averaging operator, a strategy proposed solve multi-criteria group decision-making (MCGDM) problem environment. Two examples illustrate that paper provides...

Multi-attribute decision-making based on q-rung dual hesitant power Maclaurin symmetric mean operator and a new ranking method

Reinforcement learning (RL) has shown great promise in optimizing long-term user interest recommender systems. However, existing RL-based recommendation methods need a large number of interactions for each to learn robust policy. The challenge becomes more critical when recommending new users who have limited interactions. To that end, this paper, we address the cold-start systems by proposing meta-level model-based reinforcement approach fast adaptation. In our approach, infer user's...

Root cause diagnosis is of great significance to make efficient decisions in industrial production processes. It a procedure fusing knowledge, such as empirical process and mechanism knowledge. However, it insufficient low reliability analysis methods by using crisp values or fuzzy numbers represent uncertain Therefore, dynamic causality graph model (DUCG) based on picture set (PFS) proposed address the problem knowledge representation reasoning. combines PFS with DUCG express expert...

Conditional value at risk (CVaR) is a widely used assessment technique. This paper proposes new CVaR called credibilistic CVaR, which extend the tradition to fuzzy environment. The theoretical properties of are given in this paper. Finally, trianguilar, trapezoidal and normal variables illustrate applicability feasibility CVaR.

Fuzzy multi-attribute decision-making is a hot research topic in which weight information one of the conditions for forming complete model, and it also an important factor affecting decision result. In most fuzzy problems, often given form real numbers. However, life, may not be suitable specific numerical representation, or we cannot accurately determine information. Therefore, very to use numbers represent this paper, study problem disturbing attribute weight, decision-maker are Firstly,...