E-Learning is a popular computer-based teaching–learning system that has been rapidly gaining global attention during and post COVID-19. The leaping changes in digital technology have enabled to become more effective recent years. It offers freedom from restrictions caused by geographical boundaries provides time flexibility the process. Apart its numerous advantages, success of depends upon ma...

In [28] Yager and Filev introduced the Induced Ordered Weighted Averaging (IOWA) operator. In this paper, we provide some IOWA operators to aggregate fuzzy preference relations in group decision-making (GDM) problems. These IOWA operators when guided by fuzzy linguistic quantifiers allow the introduction of some semantics or meaning in the aggregation, and therefore allow for a better control o...

This study develops a Web-based collaborative system framework based on a multiple perspective approach. This framework is a recent decision support system (DSS) paradigm proposed by Courtney [Decis. Support Syst. 31 (2001) 17] for knowledge management of and decision making about a special organizational problem. It consists of four main components. The first component is a group decision-maki...

Abstract There may be cases where experts do not have in-depth knowledge of the problem to solved in decision-making problems. In such cases, fail express their views on certain aspects problem, resulting incomplete preferences, which some preference values are provided or missing. this article, we present a new model for group (GDM) methods experts’ preferences can expressed as Fermatean fuzzy...

Sometimes, an individual may have vague information about the preference degree between two alternatives and can not estimate his preferences with an exact numerical value. Then, a possible approach is to use linguistic assessments instead of numerical values, that is, to suppose that the preference relations are assessed by means of linguistic terms. A scale of certainty expressions, linguisti...

In this experiment, we used streptozotocin (STZ) to establish a model of gestational diabetes mellitus (GDM) rats, where Zuogui Wan was given to GDM rats. After pregnancy, offspring rats were divided into 4 groups: control group, high fat and sugar as the control group, GDM group, and Zuogui Wan GDM group. Rats in high fat and sugar as the control group, GDM group, and Zuogui Wan GDM group were...

This paper proposes a chi-square method (CSM) to obtain a priority vector for group 11 decision making (GDM) problems where decision-makers’(DMs’) assessment on alternative is 12 furnished as incomplete reciprocal preference relations with missing values. Relevant theorems 13 and iterative algorithm about CSM are proposed. Satty’s consistency ratio concept is adapted to 14 judge whether an inco...

Background: Due to the growing integration between various logistics entities and other internal operations, packaging management in automotive industry is becoming increasingly important from strategic point of view operations automakers. Performance evaluation reverse also necessary for managers know their efficiency, avoid unnecessary resource use promote circular thinking, enabling more sus...

Fuzzy sets and interval-valued fuzzy are two kinds of information expression forms in real uncertain vague environments. Their mixed multivalued operational problems very challenging indispensable issues group decision-making (GDM) problems. To solve single- hybrid expression, operations, GDM issues, this study first presents the notion a set/element (SIVFMS/SIVFME) with identical and/or differ...

Interval linguistic term (ILT) is highly useful to express decision-makers’ (DMs’) uncertain preferences in the decision-making process. This paper proposes a new group (GDM) method with interval fuzzy preference relations (ILFPRs) by integrating ordinal consistency improvement algorithm, cooperative game, Data Envelopment Analysis (DEA) cross-efficiency model, and stochastic simulation. Firstl...