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Empowering a person automatically leads to the need for decision-making or, in other words, the need to optimize their activities — to exclude mistakes in decision-making, or at least to minimize them. At present, the process of optimization itself is bringing the system to the optimal (best) or, profitable solution. Synthesis of methods of system analysis and optimization is one of the best ways...
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. The super-efficiency models in DEA are used for ranking the efficient DMUs. This paper proposes a non-radial super-efficiency...
Evaluating the performance of enterprise resource planning (ERP) systems is a complex task that requires consideration of many economical and technical factors. This paper proposes a method based on fuzzy analytical hierarchy process (AHP) to cope with the multicriteria decision making problems. AHP methodology is adopted for building the evaluation model based on the performance indicators of ERP...
The weighting sum method has been widely used in multi-criteria evaluation, ranking, classification and selection problems. A key issue is to determine criteria weights. Many methods to address this issue involve subjectivity. This paper presents an approach to mathematically generate the criteria weights. The proposed approach only needs the importance order of criteria and is mathematically simple...
Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties...
The decision of supplier selection is strategic because it impacts the total performance of the company. A literature review on this field shows that studies that explicitly consider the impact of direct or indirect delivery on this decision are scarce. In this paper, a multi-objective programming model, based on lexicographic method, is proposed to simultaneously determine the optimal number of suppliers...
This paper focuses on the multiple attribute decision making problems with the attribute values being numeric, uncertain fuzzy selected subset and linguistics variable evaluations. For the fuzzy selected subset attribute values, by calculating the fuzzy preference relation between them and the quantifier guided dominance degrees of them can be obtained as their single-point evaluations. For the linguistics...
Traditional comprehensive evaluation methods have the problem of inconsistence between multi-evaluation conclusions. To solve the above problem, some researchers provide a multi-evaluation conclusion aggregation method based on singular value decomposition. However, due to the approximate process on ordinal matrix, the SVD-based aggregation method will lose the ordinal information of original matrix...
Overbooking has been studied intensively. However, those studies have paid little attention to the effect of penalty cost and degree of airlines' risk aversion on the decision-making. A cost model like a newsboy model is presented for optimal overbooking level of air cargo with stochastic capacity and penalty cost. Then the overbooking model of air cargo was proposed under the Conditional value-at-risk...
In this ever changing business structure, intelligent business system (IBS) is one of the survivals of a company, and the functions of information technology (IT) are becoming increasingly important. Evaluating the appropriate IBS for required conditions is the critical strategic decisions in formulating a business strategy. Although a number of factors were found to be influential in the choice of...
Dynamic programming is a branch of operations research. It is a process of multi-stage decision which can be used to solve problems of multi-objective decision to achieve the optimal results. Take the case of optimizing the arrangement of production planning on an enterprise, it has established arrangements model of production planning by using dynamic programming methods under constraint conditions...
It has been found that significant benefits can be achieved if suppliers are involved in the early phase of new product development process. However, in practice, this approach do not always bright in the desired benefits, if does not have a negative influence on the buyer firm's performance. Trying to solve this problem, this paper describes a new management model based on a multicriteria sorting...
In this study, the supplier selection with uncertain interval information is modeled as a multiple attribute decision making problem. A new approach is proposed for the problem. Firstly, the interval decision matrix is transformed into a definite one based on max-entropy theory. Secondly, based on the obtained definite decision matrix, the attribute weights are determined by maximizing the entropy...
Value-based decision is very complicated since many parties involved. Where a number of stakeholders are involved in choosing a single alternative from a set of solution alternatives, there are different concern caused by differing preferences, experiences, and background. Therefore, a negotiation is required to enable each stakeholder to evaluate and rank the solution alternatives before engaging...
In this paper we revisit some classical multicriteria decision making aid models in order to stress the presence of dual concepts, which will be consistent with Bipolar Fuzzy Sets (sometimes called Atanassov's Intuitionistic Fuzzy Sets). In addition, we point out how such a dual approach is a non necessary binary heritage, so we can conclude how relevant in practice are decision aid models based in...
Supplier selection is a multiple attribute decision making (MADM) problem. A new method based on TOPIS and 2-tuple linguistic is proposed. Due to the vagueness and imprecision of the decision makers' judgment, 2-tuple linguistic is introduced to represent and aggregate the linguistic evaluation information of the experts, and then the TOPSIS method is improved to deal with the information in the form...
Generalized stochastic Petri net model is proposed for support system with a classic structure of three-echelon repair and two-echelon inventory. Based on Petri net workflow models of various maintain processes, extendable queue models with generalized queuing time concept are presented to analyze performance equivalent time. A strategy of spare parts inventory minimizes the number of backorder for...
Environmental mutations always happen around all the systems, according to the impact of these changes which seems to be innocuous, the decision makers may often neglect or considered less about them, so that these systems will often pay their price. Through the exploration for the mutation of fuzzy error system, the status and characteristics of its model can be analyzed. Therefore, the decision-maker...
Multi-criteria human resource allocation involves deciding how to divide human resource of limited availability among multiple demands in a way that optimizes current objectives. This paper aims to solve the multi-criteria optimal allocation of human resources issues using multi-objective particle swarm optimization (MOPSO). In this paper, we tackled this problem via a multi-objective decision-making...
The evidential reasoning (ER) approach is a method for multiple attribute decision analysis (MADA) under uncertainties. It improves the insightfulness and rationality of a decision making process by using a belief decision matrix (BDM) for problem modelling and the Dempster-Shafer (D-S) theory of evidence for attribute aggregation. While in reality, several types of uncertainties such as fuzziness...
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