data envelopment analysis (dea) is a technique used to evaluate the relative efficiency of comparable decision making units (dmus) with multiple input-output. it computes a scalar measure of efficiency and discriminates between efficient and inefficient dmus. it can also provide reference units for inefficient dmus without consideration of the decision makers’ (dms) preferences. in this paper, ...

Multi-criteria decision methods (MCDMs) are used as an effective tool to support makers (DMs) in critical processes. These several fields of application by analyzing static decision-making problems which it is assumed that the made at a precise moment. By increasing complexity and operating increasingly competitive production sectors, very often problem way not enough. This paper deals with con...

Selecting the right truck tractor is critical for logistics companies involved in road freight transportation. The fact that having many conflicting criteria and alternatives complicates decision-making process decision-makers (DMs). determination of are effective selection tractors then evaluation main objectives this study. In context, a hybrid Multi-Criteria Decision-Making (MCDM) model comp...

This paper proposes a fuzzy group decision making (FGDM) approach for bridge risk assessment. The FGDM approach allows decision makers (DMs) to evaluate bridge risk factors using linguistic terms such as Certain, Very High, High, Slightly High, Medium, Slightly Low, Low, Very Low or None rather than precise numerical values, allows them to express their opinions independently, and also provides...

In problem of portfolio selection, financial Decision Makers (DMs) explain objectives and investment purposes in the frame of multi-objective mathematic problems which are more consistent with decision making realities. At present, various methods have introduced to optimize such problems. One of the optimization methods is the Compromise Programming (CP) method. Considering increasing importan...

Data envelopment analysis (DEA) measures the efficiency score of a set homogeneous decision-making units (DMUs) based on observed input and output. Considering input-oriented, inverse DEA models find required level for producing given amount production in current level. This article proposes new form model considering income (for planning) budget finance budgeting) constraints. In contrast with...

Purpose The decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex uncertain due multiple conflicting qualitative quantitative criteria as well alternatives. Vagueness variability exist in ratings of alternatives by group decision-makers (DMs). paper provides a novel Stochastic Fuzzy (SF) method for evaluation selection agile sustaina...

You can’t always get what you want but (with a bit of luck) you may get what you expect. We study a bilateral exchange model where decision makers (DMs) perceive subjectively the characteristics of the products they initially own. They use a common language to communicate with each other while four requirements are imposed to prevent them from purposely trying to manipulate the exchange process...

Supplier selection is a multiple-attribute decision-making (MADM) problem. Since the decision makers (DMs) such as preferences on alternatives or on the attributes of suppliers are often uncertain, supplier selection becomes more difficult. Grey theory is one of the methods used to study uncertainty, being superior in the mathematical analysis of systems with uncertain information. In this pape...

Linguistic neutrosophic numbers (LNNs) can easily describe the incomplete and indeterminate information by the truth, indeterminacy, and falsity linguistic variables (LVs), and the Hamy mean (HM) operator is a good tool to deal with multiple attribute group decision making (MAGDM) problems because it can capture the interrelationship among the multi-input arguments. Motivated by these ideas, we...