Prioritising emergency bridgeworks assessment has been a key to winning battles in combat circumstances because of soldier safety, attack or defence tactics, and logistic supply ability. However, an imprecise or vague satisfaction level of importance of criteria may also affect the prioritising evaluation of bridgeworks under military consideration. In this paper, the fuzzy set theory is employed to treat this aspect. With linguistic variables, fuzzy numbers and an enhanced fuzzy weighted average approach will be used. The proposed approach is used to investigate an example to illustrate its applications in emergency bridgeworks assessment. The approach is shown to be useful and effective. In order to make computing and ranking results easier and to increase recruiting productivity, a computer-based decision support system has been developed, which may help the commander make decisions more efficiently.
This paper is a response to the paper by De, Biswas, and Roy that was published in Fuzzy Sets and Systems, 2001, 209-213. They considered an application of intuitionistic fuzzy sets in medical diagnosis. Recently, a lot of papers have cited the paper to apply in medical fi eld. However, this paper will point out that their approach contains questionable results that may lead to false diagnosis of patients' symptoms. Consequently, we advise researchers and physicians not to apply their approach to avoid risk to human life.
Recently, many related researches focus on using mathematical approaches or artificial techniques to efficiently improve software development process (SDP). This paper provides a managerial viewpoint to discuss software process improvement (SPI) and introduces an alternative orientation that can lead to asking new questions. We combine activity-based costing (ABC), balanced scorecard (BSC) and capability maturity model (CMM) into SPI and propose a new model, called the ABC Model, also called the ABCM. There are two purposes of the proposed model. The first is to reshape the effective SDP in terms of goals and strategies of organizations. The second is to evaluate the performance of SDP based on the balanced perspective. This paper has two perspectives introduced, a balanced perspective on SDP, and a process-based perspective on the ABCM. Finally, this research is a longitudinal and practical research and employs a case study to propose a feasible model for SPI.
Inventory models must consider the probability of sub-optimal manufacturing and careless shipping to prevent the delivery of defective products to retailers. Retailers seeking to preserve a reputation of quality must also perform inspections of all items prior to sale. Inventory models that include sub-lot sampling inspections provide reasonable conditions by which to establish a lower bound and a pair of upper bounds in terms of order quantity. This should make it possible to determine the conditions of an optimal solution, which includes a unique interior solution to the problem of an order quantity satisfying the first partial derivative. The approach proposed in this paper can be used to solve the boundary. These study findings provide the analytical foundation for an inventory model that accounts for defective items and sub-lot sampling inspections. The numerical examples presented in a previous paper are used to demonstrate the derivation of an optimal solution. A counter-example is constructed to illustrate how existing iterative methods do not necessarily converge to the optimal solution.
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